Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment

This reprint includes a collection of recent articles on the identification, staging, diagnosis, and classification of malignant biliary structures, leukemia, bladder cancer, colorectal and osteosarcoma cancer, oral cancer, breast cancer, lung nodules, liver tumors, pulmonary diseases, skin cancer,...

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Format:	Online
Jezik:	angleščina
Izdano:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Teme:	laryngeal carcinoma substitution voicing voice analysis convolutional neural networks deep learning breast cancer histopathological images computer aided diagnosis cancer medical imaging nonlinear ordinary coupled differential equation (ncode) Bernstein polynomial (bsp) genetic algorithm (ga) sliding mode controller (smc) synergetic controller (sc) chemotherapy immunotherapy and optimization artificial intelligence U-Net PET/CT diffuse large B-cell lymphoma metabolic tumor volume histopathology imaging modality mammography skin lesion classification feature selection VGG16 EfficientNet B0 ResNet50 HAM 10000 dataset BCN 20000 dataset skin disease transfer learning attention cost-sensitive meta-classifier explainable AI class activation map Grad-CAM LIME coronavirus disease reverse transcription polymerase chain reaction computed tomography healthcare health risks adversarial propagation liver tumor segmentation classification enhanced swin transformer network median filtering 4D classification lung nodule image radial scanning decision making breast cancer classification computer-aided diagnostics dermatologists dermatology digital dermatology machine learning man-machine systems skin cancer skin neoplasms visual explanation attention mechanism human-in-the-loop deep learning attention map expert knowledge embedding attention branch network cancer diagnosis explainable artificial intelligence ensemble learning Adaptive Aquila Optimizer bladder cancer urothelial carcinoma lymph node metastasis computed tomography (CT) imaging acute lymphoblastic leukemia deep-learning XAI nuclei segmentation leukemia classification musculoskeletal X-ray data scarcity convolution neural network (CNN) feature fusion gradient-based class activation heat map urooncology prostate cancer cholangioscopy biliary strictures n/a thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues
Online dostop:	ONIX_20240514_9783725807116_421
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Izvleček:	This reprint includes a collection of recent articles on the identification, staging, diagnosis, and classification of malignant biliary structures, leukemia, bladder cancer, colorectal and osteosarcoma cancer, oral cancer, breast cancer, lung nodules, liver tumors, pulmonary diseases, skin cancer, metabolic tumor, and laryngeal carcinoma. It also includes items on the use of computer-aided, deep learning, and medical imaging-based cancer detection and diagnosis.

Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment

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