A survey on cancer detection via convolutional neural networks: Current challenges and future directions

P Sharma, DR Nayak, BK Balabantaray, M Tanveer… - Neural Networks, 2023 - Elsevier
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 …

[HTML][HTML] Deep learning in dermatology: a systematic review of current approaches, outcomes, and limitations

HK Jeong, C Park, R Henao, M Kheterpal - JID Innovations, 2023 - Elsevier
Artificial intelligence (AI) has recently made great advances in image classification and
malignancy prediction in the field of dermatology. However, understanding the applicability …

Maltol has anti-cancer effects via modulating PD-L1 signaling pathway in B16F10 cells

NR Han, HJ Park, SG Ko, PD Moon - Frontiers in Pharmacology, 2023 - frontiersin.org
Introduction: Among skin cancers, melanoma has a high mortality rate. Recent advances in
immunotherapy, particularly through immune checkpoint modulation, have improved the …

Skin cancer detection using ensemble learning and grouping of deep models

T Guergueb, MA Akhloufi - … of the 19th International Conference on …, 2022 - dl.acm.org
Melanoma remains the most dangerous form of skin cancer which has a high mortality rate.
When detect early, melanoma can be easily cured and millions of lives might be saved. The …

Multi-Scale Deep Ensemble Learning for Melanoma Skin Cancer Detection

T Guergueb, MA Akhloufi - … and Integration for Data Science (IRI …, 2022 - ieeexplore.ieee.org
Skin cancer is the most prevalent type of cancer in the world. Melanoma, specifically is
among the deadliest variants of cancer, But if detected early, most melanomas can be cured …

An intelligent skin cancer detection system using two-level multi-column convolutional neural network architecture

A Sivakumar, R Vedhapriyavadhana… - Neural Computing and …, 2024 - Springer
In the past decade, the medical field is witnessing a greater need and the subsequent
involvement of technology and automation. Skin cancer detection is one particular area in …

Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks

JA Rios‐Duarte, AC Diaz‐Valencia… - Skin Research and …, 2024 - Wiley Online Library
Background Timely diagnosis plays a critical role in determining melanoma prognosis,
prompting the development of deep learning models to aid clinicians. Questions persist …

A Logical Design of Robust Methodology to Detect and Classify Melanoma Disease using Hybrid Deep Learning Principles

K Priyadharshini, S Shanthi, R Ashwini… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
Recent research has determined that the form of skin cancer known as melanoma is the
deadliest. When detected early and treated surgically, patients have a far better chance of …

Analysis of Skin Lesions for Identifying of Skin Cancer Melanoma using Customized CNN Model with Transfer Learning

N Sinchana, K Jeevitha, SK Swamy… - 2023 4th IEEE …, 2023 - ieeexplore.ieee.org
Melanoma is a type of cancer known to be the most dangerous and is called the life
threatening disease. Every year, there is rise in number of people being diagnosed with …

Melanoma Unveiled: Harnessing Convolutional Neural Network ResNet 50 for Precise Segmentation and Detection

M Mahaboob, S Ramalingam… - 2023 7th …, 2023 - ieeexplore.ieee.org
Tumors classified as sarcomas within the realm of skin diseases manifest within the
connective, supportive, and enveloping tissues of bodily structures. Due to their limited …