AIMC Topic: Melanoma
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Skin cancer detection using dermoscopic images with convolutional neural network.
Scientific reports
Mar 1, 2025
Skin malignant melanoma is a high-risk tumor with low incidence but high mortality rates. Early detection and treatment are crucial for a cure. Machine learning studies have focused on classifying melanoma tumors, but these methods are cumbersome and...
Artificial intelligence and different image modalities in uveal melanoma diagnosis and prognosis: A narrative review.
Photodiagnosis and photodynamic therapy
Feb 20, 2025
BACKGROUND: The most widespread primary intraocular tumor in adults is called uveal melanoma (UM), if detected early enough, it can be curable. Various methods are available to treat UM, but the most commonly used and effective approach is plaque rad...
Artificial intelligence in the diagnosis of uveal melanoma: advances and applications.
Experimental biology and medicine (Maywood, N.J.)
Feb 19, 2025
Advancements in machine learning and deep learning have the potential to revolutionize the diagnosis of melanocytic choroidal tumors, including uveal melanoma, a potentially life-threatening eye cancer. Traditional machine learning methods rely heavi...
A promising AI based super resolution image reconstruction technique for early diagnosis of skin cancer.
Scientific reports
Feb 11, 2025
Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiation. Among all other types, melanoma is a notable severe kind of skin cancer, which can be fatal. Melanoma is a malignant skin cancer arising from melan...
A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification.
Scientific reports
Feb 7, 2025
Accurately and early diagnosis of melanoma is one of the challenging tasks due to its unique characteristics and different shapes of skin lesions. So, in order to solve this issue, the current study examines various deep learning-based approaches and...
Artificial intelligence with ChatGPT 4: a large language model in support of ocular oncology cases.
International ophthalmology
Feb 7, 2025
PURPOSE: To evaluate ChatGPT's ability to analyze comprehensive case descriptions of patients with uveal melanoma and provide recommendations for the most appropriate management.
Towards unbiased skin cancer classification using deep feature fusion.
BMC medical informatics and decision making
Jan 31, 2025
This paper introduces SkinWiseNet (SWNet), a deep convolutional neural network designed for the detection and automatic classification of potentially malignant skin cancer conditions. SWNet optimizes feature extraction through multiple pathways, emph...
Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection.
Sensors (Basel, Switzerland)
Jan 21, 2025
The most deadly type of skin cancer is melanoma. A visual examination does not provide an accurate diagnosis of melanoma during its early to middle stages. Therefore, an automated model could be developed that assists with early skin cancer detection...
Minimal sourced and lightweight federated transfer learning models for skin cancer detection.
Scientific reports
Jan 21, 2025
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 challenges in hospitals. The aim of this paper is to propose and develop a ...
Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review.
BMC cancer
Jan 13, 2025
BACKGROUND: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is crucial to improve patient outcomes. Dermoscopy, a non-invasive imaging technique, aids in melanoma detection but can be limited by subjective interpretati...
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