A hybrid lightweight breast cancer classification framework using the histopathological images

Journal of Applied Biomedicine, Год журнала: 2023, Номер 44(1), С. 31 - 54

Опубликована: Дек. 22, 2023

Язык: Английский

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Fusion of transformer attention and CNN features for skin cancer detection

Applied Soft Computing, Год журнала: 2024, Номер 164, С. 112013 - 112013

Опубликована: Июль 18, 2024

Язык: Английский

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Multi-scale feature fusion of deep convolutional neural networks on cancerous tumor detection and classification using biomedical images

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 7, 2025

In the present scenario, cancerous tumours are common in humans due to major changes nearby environments. Skin cancer is a considerable disease detected among people. This uncontrolled evolution of atypical skin cells. It occurs when DNA injury cells, or genetic defect, leads an increase quickly and establishes malignant tumors. However, rare instances, many types occur from tempted by infrared light affecting worldwide health problem, so accurate appropriate diagnosis needed for efficient treatment. Current developments medical technology, like smart recognition analysis utilizing machine learning (ML) deep (DL) techniques, have transformed treatment these conditions. These approaches will be highly effective biomedical imaging. study develops Multi-scale Feature Fusion Deep Convolutional Neural Networks on Cancerous Tumor Detection Classification (MFFDCNN-CTDC) model. The main aim MFFDCNN-CTDC model detect classify using To eliminate unwanted noise, method initially utilizes sobel filter (SF) image preprocessing stage. For segmentation process, Unet3+ employed, providing precise localization tumour regions. Next, incorporates multi-scale feature fusion combining ResNet50 EfficientNet architectures, capitalizing their complementary strengths extraction varying depths scales input images. convolutional autoencoder (CAE) utilized classification method. Finally, parameter tuning process performed through hybrid fireworks whale optimization algorithm (FWWOA) enhance performance CAE A wide range experiments authorize approach. experimental validation approach exhibited superior accuracy value 98.78% 99.02% over existing techniques under ISIC 2017 HAM10000 datasets.

Язык: Английский

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Forward attention-based deep network for classification of breast histopathology image

Multimedia Tools and Applications, Год журнала: 2024, Номер 83(40), С. 88039 - 88068

Опубликована: Март 22, 2024

Язык: Английский

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HAFMAB-Net: hierarchical adaptive fusion based on multilevel attention-enhanced bottleneck neural network for breast histopathological cancer classification

Signal Image and Video Processing, Год журнала: 2025, Номер 19(5)

Опубликована: Март 19, 2025

Язык: Английский

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Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet

Computers in Biology and Medicine, Год журнала: 2024, Номер 185, С. 109494 - 109494

Опубликована: Дек. 4, 2024

Язык: Английский

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MECF-Net: A prostate cancer lymph node metastasis classification method based on 18F-PSMA-1007 and 18F-FDG dual-tracer PET/CT image feature optimization

Biomedical Signal Processing and Control, Год журнала: 2025, Номер 105, С. 107651 - 107651

Опубликована: Фев. 13, 2025

Язык: Английский

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Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks

Journal Of Big Data, Год журнала: 2025, Номер 12(1)

Опубликована: Март 7, 2025

Язык: Английский

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DenLsNet-C: a novel model for breast cancer classification in pathology images based on DenseNet and LSTM

The Journal of Supercomputing, Год журнала: 2025, Номер 81(8)

Опубликована: Май 30, 2025

Язык: Английский

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ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization

IEEE Access, Год журнала: 2024, Номер 12, С. 117921 - 117933

Опубликована: Янв. 1, 2024

Язык: Английский

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