[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review
Cancer is a life-threatening ailment characterized by the uncontrolled proliferation of cells.
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
[HTML][HTML] Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
Abstract Background and Objective: Many developed and non-developed countries
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …
DeepSkin: a deep learning approach for skin cancer classification
Skin cancer is one of the most rapidly spreading illnesses in the world and because of the
limited resources available. Early detection of skin cancer is crucial accurate diagnosis of …
limited resources available. Early detection of skin cancer is crucial accurate diagnosis of …
Melanoma classification from dermoscopy images using ensemble of convolutional neural networks
Human skin is the most exposed part of the human body that needs constant protection and
care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays …
care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays …
[HTML][HTML] Systematic Review of Deep Learning Techniques in Skin Cancer Detection
C Magalhaes, J Mendes, R Vardasca - BioMedInformatics, 2024 - mdpi.com
Skin cancer is a serious health condition, as it can locally evolve into disfiguring states or
metastasize to different tissues. Early detection of this disease is critical because it increases …
metastasize to different tissues. Early detection of this disease is critical because it increases …
Detection and classification of melanoma skin cancer using image processing technique
CK Viknesh, PN Kumar, R Seetharaman, D Anitha - Diagnostics, 2023 - mdpi.com
Human skin cancer is the most common and potentially life-threatening form of cancer.
Melanoma skin cancer, in particular, exhibits a high mortality rate. Early detection is crucial …
Melanoma skin cancer, in particular, exhibits a high mortality rate. Early detection is crucial …
Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy‐Based Noninvasive Digital System
Skin cancer is a significant health concern worldwide, and early and accurate diagnosis
plays a crucial role in improving patient outcomes. In recent years, deep learning models …
plays a crucial role in improving patient outcomes. In recent years, deep learning models …
[HTML][HTML] Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention …
A Alqarafi, AA Khan, RK Mahendran… - … Signal Processing and …, 2024 - Elsevier
Melanoma skin cancer, an aggressive neoplasm arising from the malignant proliferation of
melanocytes, represents a formidable challenge in the field of oncology due to its high …
melanocytes, represents a formidable challenge in the field of oncology due to its high …
Revolutionizing Dermatology: A Comprehensive Survey of AI-Enhanced Early Skin Cancer Diagnosis
Skin cancer is a significant global health concern, with its early detection and diagnosis
playing a pivotal role in improving patient health outcomes. In recent years, artificial …
playing a pivotal role in improving patient health outcomes. In recent years, artificial …
Melanoma identification and classification model based on fine-tuned convolutional neural network
Background Breakthroughs in skin cancer diagnostics have resulted from recent image
recognition and Artificial Intelligence (AI) technology advancements. There has been …
recognition and Artificial Intelligence (AI) technology advancements. There has been …