Decoding skin cancer classification: perspectives, insights, and advances through researchers' lens

A Ray, S Sarkar, F Schwenker, R Sarkar - Scientific Reports, 2024 - nature.com
Skin cancer is a significant global health concern, with timely and accurate diagnosis
playing a critical role in improving patient outcomes. In recent years, computer-aided …

[HTML][HTML] Early cancer detection using deep learning and medical imaging: A survey

I Ahmad, F Alqurashi - Critical Reviews in Oncology/Hematology, 2024 - Elsevier
Cancer, characterized by the uncontrolled division of abnormal cells that harm body tissues,
necessitates early detection for effective treatment. Medical imaging is crucial for identifying …

[HTML][HTML] Enhancing dermatological diagnostics with efficientnet: A deep learning approach

I Manole, AI Butacu, RN Bejan, GS Tiplica - Bioengineering, 2024 - mdpi.com
Background: Despite recent advancements, medical technology has not yet reached its
peak. Precision medicine is growing rapidly, thanks to machine learning breakthroughs …

CAD-PsorNet: deep transfer learning for computer-assisted diagnosis of skin psoriasis

C Chakraborty, U Achar, S Nayek, A Achar… - Scientific Reports, 2024 - nature.com
Psoriasis, being a chronic, inflammatory, lifelong skin disorder, has become a major threat to
the human population. The precise and effective diagnosis of psoriasis continues to be …

A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification

A Halder, A Dalal, S Gharami, M Wozniak, MF Ijaz… - Scientific Reports, 2025 - nature.com
Skin cancer is widespread and can be potentially fatal. According to the World Health
Organisation (WHO), it has been identified as a leading cause of mortality. It is essential to …

A robust deep learning framework for multiclass skin cancer classification

B Ozdemir, I Pacal - Scientific Reports, 2025 - nature.com
Skin cancer represents a significant global health concern, where early and precise
diagnosis plays a pivotal role in improving treatment efficacy and patient survival rates …

Distance-based integration method for human skin type identification

W Srimaharaj, S Chaising - Computers in Biology and Medicine, 2024 - Elsevier
Although identifying human skin types is essential in dermatology, cosmetology, and facial
recognition, the classification of human skin types is challenging due to the complex nature …

Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition

ASN Raju, K Venkatesh, B Padmaja, CH Kumar… - Scientific Reports, 2024 - nature.com
Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer
worldwide, significantly enhances the prognosis of patients. This research presents a new …

Minimal sourced and lightweight federated transfer learning models for skin cancer detection

V Khullar, P Kaur, S Gargrish, AM Mishra, P Singh… - Scientific Reports, 2025 - nature.com
One of the most fatal diseases that affect people is skin cancer. Because nevus and
melanoma lesions are so similar and there is a high likelihood of false negative diagnoses …

Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques

HM Rai, J Yoo, S Dashkevych - Archives of Computational Methods in …, 2025 - Springer
Cancer continues to be a primary cause of death worldwide, highlighting the critical need for
early diagnosis methods. Automated, quick, and efficient technologies are critical to this …