[HTML][HTML] Skin cancer detection using deep learning—a review
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine
In computer vision applications like surveillance and remote sensing, to mention a few, deep
learning has had considerable success. Medical imaging still faces a number of difficulties …
learning has had considerable success. Medical imaging still faces a number of difficulties …
[HTML][HTML] Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review
F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
SIGNFORMER: deepvision transformer for sign language recognition
Sign language is the most common form of communication for the hearing impaired. To
bridge the communication gap with such impaired people, a normal people should be able …
bridge the communication gap with such impaired people, a normal people should be able …
[HTML][HTML] A novel hybrid Extreme Learning Machine and Teaching–Learning-Based Optimization algorithm for skin cancer detection
N Priyadharshini, N Selvanathan, B Hemalatha… - Healthcare …, 2023 - Elsevier
Skin cancers, such as melanoma, can be difficult to spot in their early stages because they
often resemble benign moles. Early detection of melanoma is crucial as it increases the …
often resemble benign moles. Early detection of melanoma is crucial as it increases the …
Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification
G Akilandasowmya, G Nirmaladevi, SU Suganthi… - … Signal Processing and …, 2024 - Elsevier
Problem Cancer is a deadly disease that requires better diagnostics. Early detection
improves skin cancer survival. Due to skin lesion dissimilarity, automated image …
improves skin cancer survival. Due to skin lesion dissimilarity, automated image …
[HTML][HTML] A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI
Skin cancer is a serious disease that affects people all over the world. Melanoma is an
aggressive form of skin cancer, and early detection can significantly reduce human mortality …
aggressive form of skin cancer, and early detection can significantly reduce human mortality …
Deep Learning-based Dermatological Condition Detection: A Systematic Review with Recent Methods, Datasets, Challenges and Future Directions
Dermatological conditions are a global health concern affecting all age groups. They
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …
[HTML][HTML] A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges
A substantial body of research has been published in artificial intelligence due to the rising
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …