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Decoding skin cancer classification: perspectives, insights, and advances through researchers' lens
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 …
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
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 …
necessitates early detection for effective treatment. Medical imaging is crucial for identifying …
[HTML][HTML] Enhancing dermatological diagnostics with efficientnet: A deep learning approach
Background: Despite recent advancements, medical technology has not yet reached its
peak. Precision medicine is growing rapidly, thanks to machine learning breakthroughs …
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 …
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 …
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
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 …
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 …
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
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 …
worldwide, significantly enhances the prognosis of patients. This research presents a new …
Minimal sourced and lightweight federated transfer learning models for skin cancer detection
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 …
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
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 …
early diagnosis methods. Automated, quick, and efficient technologies are critical to this …