NSTL国家科技图书文献中心

1. Improving burn diagnosis in medical image retrieval from grafting burn samples using B-coefficients and the CLAHE algorithm NSTL国家科技图书文献中心

Rangaiah P.K.B. | Augustine R.... - 《Biomedical signal processing and control》 - 2025,99(Jan.) - 1.1～1.13 - 共13页

摘要： Equalisation (CLAHE) algorithm in an Image Reclamation system | tails in the CLAHE* image, enhancing specific image* | features. Additionally, increased skewness in the CLAHE | © 2024This study focuses on the vital | difficulty of burn assessment in medical image retrieval

关键词： Artificial Neural Network (ANN) | Bhattacharya coefficients | Burnt skin | Image reclamation | Machine learning | Medical imaging

2. An intelligent method to identify land use changes in an urban watershed in Iran NSTL国家科技图书文献中心

Eshghizadeh, Masoud | Mohammadpoor, Mojtab... - 《GeoJournal》 - 2025,90(1) - 共12页

摘要：Urban growth and its monitoring are some of | the most important considerations of cities and | municipalities spatially in urban watershed management. Changes | in land use are essential factors in the | relationship between precipitation and runoff. Remote sensing

关键词： CLAHE | Classification | Landsat | Remote sensing | Residential | SVM | Urban development

3. DSENetk: An Efficient Deep Stacking Ensemble Approach for COVID-19 Induced Pneumonia Prediction Using Radiograph Images NSTL国家科技图书文献中心

Sandeep Chaurasia | Amit Kumar Gupta ... - 《SN Computer Science》 - 2025,6(1) - 68～ - 共17页

摘要： (CLAHE) and Balance Contrast Enhancement Technique | evaluation shows that the combined use of CLAHE* and BCET* | % with CLAHE* only and 92% with BCET only. The proposed* | Eruption of pandemic disease in 2019 has been | spreading like a wildfire throughout the world, having

关键词： COVID-19 | Pneumonia | Convolutional neural network | Deep learning | X-ray

4. Cascaded combination of total variation regularization and contrast limited adaptive histogram equalization based image dehazing NSTL国家科技图书文献中心

T. Surya Kavita | A. Vamsidhar ... - 《The imaging science journal》 - 2025,73(1/2) - 213～226 - 共14页

摘要： of combined CLAHE* and BPDHE histogram equalization* | (CE-CLAHE-BPDHE) respectively. | Haze and fog can significantly reduce the | visibility of distant objects by scattering light and | creating blurry, washed-out images lacking in detail

关键词： Image dehazing | total variation | contrast limited adaptive histogram equalization | peak signal-to-noise ratio | cascaded | structural similarity index metric | 2D histogram equalization | contrast improvement index

5. Heuristic strategy using hybrid deep learning with transfer learning for oral cancer detection NSTL国家科技图书文献中心

Saraswathi, T. | Bhaskaran, V. Murali - 《International Journal of Wavelets,Multiresolution and Information Processing》 - 2025,23(1) - 共38页

摘要： Equalization (CLAHE). The CLAHE* method is utilized to reduce* | Oral cancer becomes the most disastrous | ailment that affects the oral cavity parts of the mouth | . Oral cancer diagnosis is the main challenge in the | medical field. It becomes expensive and less capable of

关键词： Oral cancer detection | contrast limited adaptive histogram equalization | lesion detection | inception V3 | recurrent deep belief network | deep learning | hybrid beetle-barnacle swarm optimization

6. Enhanced Retinal Image Based Segmentation and Deep Learning NSTL国家科技图书文献中心

Salman, N. E. D. A. ... | Daway, Hazim G.... - 《Nonlinear Optics, Quantum Optics》 - 2025,61(1/2) - 99～111 - 共13页

摘要： algorithm based on employing K-means and CLAHE* technique* | Retinal images are susceptible to various | quality problems including improving retinal fundus | imaging is crucial for increasing the accuracy of eye | disease prediction. In this study, we suggest a new

关键词： Enhancement image | RGB image retina | quality assessment | Deep | learning K-means | De-nosing CNN | YCbCr

7. Skin cancer classification using ensemble classification model with improved deep joint segmentation NSTL国家科技图书文献中心

Jinu P. Sainudeen | S. Sathyalakshmi - 《International journal of bioinformatics research and applications》 - 2025,21(1) - 72～101 - 共30页

摘要： histogram equalisation (CLAHE) in the first phase. The | We present a six-phase skin cancer | classification model based on improved deep joint segmentation | (IDJS) in this work. The pre-processed image is | segmented using IDJS in the second phase, after contrast

关键词： DL | skin cancer | segmentation | classification | recommendation

8. Segnet with Unet3+ and EfficientNet: a novel framework of brain tumour segmentation and classification model by multiscale attention-based deep learning techniques with hybrid heuristic improvement using 3D MRI brain images NSTL国家科技图书文献中心

Ramya D | Lakshmi C - 《The imaging science journal》 - 2025,73(1/2) - 46～69 - 共24页

摘要： 'Contrast Limited Adaptive Histogram Equalization (CLAHE | An adaptive deep learning is recommended to | segment and classify the brain tumor using 3D MRI images | . Initially, the original 3D MRI images are gathered and fed | into pre-processing, which is accomplished using the

关键词： Brain tumour | 3D magnetic resonance images | contrast limited adaptive histogram equalization | multiscale self-guided attention-based hybrid adaptive networks | Segnet with Unet3+ | position updating of black widow and shark smell | MobileNet and DenseNet | adaptive atrous spatial pyramid pooling-based EfficientNet

9. Classification of Breast Cancer for Mammography Using High-Resolution Network NSTL国家科技图书文献中心

Ngo Quoc Thai | Hieu Trung Huynh - 《Integrated Uncertainty in Knowledge Modelling and Decision Making,Part I》 - International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making - 2025, - 185～196 - 共12页

摘要： limited adaptive histogram equalization (CLAHE) and the | Breast cancer is one of the most common types | of cancer worldwide. Mammography has been shown to | be effective in detecting and categorizing cancer | cells in breast tissues. Several image processing

关键词： Breast cancer | Mammography | Deep learning | HRNet | Mass classification

10. Modified deep inductive transfer learning diagnostic systems for diabetic retinopathy severity levels classification NSTL国家科技图书文献中心

Vij R. | Arora S. - 《Biomedical signal processing and control》 - 2025,99(Jan.) - 1.1～1.17 - 共17页

摘要： Convolutional Local Area Histogram Equalization (CLAHE). Third | © 2024 Elsevier LtdDiabetic Retinopathy (DR | ), a retinal illness that degenerates the retina and | causes blindness, can be effectively treated with early | detection and examination. Although expensive and

关键词： Deep inductive transfer learning-based diagnostic systems | Deep learning | Diabetic retinopathy | Global average pooling layer | IDRiD dataset | Multiclass DR severity classification

摘要： Equalisation (CLAHE) algorithm in an Image Reclamation system | tails in the CLAHE image, enhancing specific image | features. Additionally, increased skewness in the CLAHE | © 2024This study focuses on the vital | difficulty of burn assessment in medical image retrieval

关键词： Artificial Neural Network (ANN) | Bhattacharya coefficients | Burnt skin | Image reclamation | Machine learning | Medical imaging

摘要：Urban growth and its monitoring are some of | the most important considerations of cities and | municipalities spatially in urban watershed management. Changes | in land use are essential factors in the | relationship between precipitation and runoff. Remote sensing

关键词： CLAHE | Classification | Landsat | Remote sensing | Residential | SVM | Urban development

摘要： (CLAHE) and Balance Contrast Enhancement Technique | evaluation shows that the combined use of CLAHE and BCET | % with CLAHE only and 92% with BCET only. The proposed | Eruption of pandemic disease in 2019 has been | spreading like a wildfire throughout the world, having

关键词： COVID-19 | Pneumonia | Convolutional neural network | Deep learning | X-ray

摘要： of combined CLAHE and BPDHE histogram equalization | (CE-CLAHE-BPDHE) respectively. | Haze and fog can significantly reduce the | visibility of distant objects by scattering light and | creating blurry, washed-out images lacking in detail

关键词： Image dehazing | total variation | contrast limited adaptive histogram equalization | peak signal-to-noise ratio | cascaded | structural similarity index metric | 2D histogram equalization | contrast improvement index

摘要： Equalization (CLAHE). The CLAHE method is utilized to reduce | Oral cancer becomes the most disastrous | ailment that affects the oral cavity parts of the mouth | . Oral cancer diagnosis is the main challenge in the | medical field. It becomes expensive and less capable of

关键词： Oral cancer detection | contrast limited adaptive histogram equalization | lesion detection | inception V3 | recurrent deep belief network | deep learning | hybrid beetle-barnacle swarm optimization

摘要： algorithm based on employing K-means and CLAHE technique | Retinal images are susceptible to various | quality problems including improving retinal fundus | imaging is crucial for increasing the accuracy of eye | disease prediction. In this study, we suggest a new

关键词： Enhancement image | RGB image retina | quality assessment | Deep | learning K-means | De-nosing CNN | YCbCr

摘要： histogram equalisation (CLAHE) in the first phase. The | We present a six-phase skin cancer | classification model based on improved deep joint segmentation | (IDJS) in this work. The pre-processed image is | segmented using IDJS in the second phase, after contrast

关键词： DL | skin cancer | segmentation | classification | recommendation

摘要： 'Contrast Limited Adaptive Histogram Equalization (CLAHE | An adaptive deep learning is recommended to | segment and classify the brain tumor using 3D MRI images | . Initially, the original 3D MRI images are gathered and fed | into pre-processing, which is accomplished using the

摘要： limited adaptive histogram equalization (CLAHE) and the | Breast cancer is one of the most common types | of cancer worldwide. Mammography has been shown to | be effective in detecting and categorizing cancer | cells in breast tissues. Several image processing

关键词： Breast cancer | Mammography | Deep learning | HRNet | Mass classification

摘要： Convolutional Local Area Histogram Equalization (CLAHE). Third | © 2024 Elsevier LtdDiabetic Retinopathy (DR | ), a retinal illness that degenerates the retina and | causes blindness, can be effectively treated with early | detection and examination. Although expensive and

关键词： Deep inductive transfer learning-based diagnostic systems | Deep learning | Diabetic retinopathy | Global average pooling layer | IDRiD dataset | Multiclass DR severity classification

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国家科技图书文献中心

摘要： Equalisation (CLAHE) algorithm in an Image Reclamation system | tails in the CLAHE* image, enhancing specific image* | features. Additionally, increased skewness in the CLAHE | © 2024This study focuses on the vital | difficulty of burn assessment in medical image retrieval

摘要： (CLAHE) and Balance Contrast Enhancement Technique | evaluation shows that the combined use of CLAHE* and BCET* | % with CLAHE* only and 92% with BCET only. The proposed* | Eruption of pandemic disease in 2019 has been | spreading like a wildfire throughout the world, having

摘要： of combined CLAHE* and BPDHE histogram equalization* | (CE-CLAHE-BPDHE) respectively. | Haze and fog can significantly reduce the | visibility of distant objects by scattering light and | creating blurry, washed-out images lacking in detail

摘要： Equalization (CLAHE). The CLAHE* method is utilized to reduce* | Oral cancer becomes the most disastrous | ailment that affects the oral cavity parts of the mouth | . Oral cancer diagnosis is the main challenge in the | medical field. It becomes expensive and less capable of

摘要： algorithm based on employing K-means and CLAHE* technique* | Retinal images are susceptible to various | quality problems including improving retinal fundus | imaging is crucial for increasing the accuracy of eye | disease prediction. In this study, we suggest a new