AIMC Topic: Melanoma
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Batch Mode TD($\lambda$ ) for Controlling Partially Observable Gene Regulatory Networks.
IEEE/ACM transactions on computational biology and bioinformatics
Jul 28, 2016
External control of gene regulatory networks (GRNs) has received much attention in recent years. The aim is to find a series of actions to apply to a gene regulation system making it avoid its diseased states. In this work, we propose a novel method ...
Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines.
BioMed research international
Jun 13, 2016
Background. One of the fatal disorders causing death is malignant melanoma, the deadliest form of skin cancer. The aim of the modern dermatology is the early detection of skin cancer, which usually results in reducing the mortality rate and less exte...
Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data.
Journal of biomedical informatics
Feb 2, 2016
OBJECTIVE: Wide-scale adoption of electronic medical records (EMRs) has created an unprecedented opportunity for the implementation of Rapid Learning Systems (RLSs) that leverage primary clinical data for real-time decision support. In cancer, where ...
Clinical decision support systems at the Vienna General Hospital using Arden Syntax: Design, implementation, and integration.
Artificial intelligence in medicine
Dec 1, 2015
INTRODUCTION: The Allgemeines Krankenhaus Informations Management (AKIM) project was started at the Vienna General Hospital (VGH) several years ago. This led to the introduction of a new hospital information system (HIS), and the installation of the ...
Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Mar 22, 2015
BACKGROUND/PURPOSE: Early detection of malignant melanoma is an important public health challenge. In the USA, dermatologists are seeing more melanomas at an early stage, before classic melanoma features have become apparent. Pink color is a feature ...
The melanoma MEGA-study: Integrating proteogenomics, digital pathology, and AI-analytics for precision oncology.
Journal of proteomics
Aug 15, 2025
Melanoma remains the most aggressive form of skin cancer, characterized by high metastatic potential, genetic heterogeneity, and resistance to conventional therapies. The Melanoma MEGA-Study is a multi-center initiative designed to address these clin...
Development and Evaluation of Natural Language Processing Methods for Extracting Key Melanoma Pathology Concepts.
Studies in health technology and informatics
Aug 7, 2025
This study presents the development and evaluation of an annotation schema and rule-based natural language processing (NLP) system for extracting key melanoma pathology concepts from surgical pathology reports. Achieving high precision and recall, ou...
Nomograms versus artificial intelligence platforms: which one can better predict sentinel node positivity in melanoma patients?
Melanoma research
Aug 1, 2025
Nomograms are commonly used in oncology to assist clinicians in individualized decision-making processes, such as considering sentinel node biopsy (SNB) for melanoma patients. Concurrently, artificial intelligence (AI) is increasingly being utilized ...
Establishment of an intelligent analysis system for clinical image features of melanonychia based on deep learning image segmentation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 1, 2025
Melanonychia, a condition that can be indicative of malignant melanoma, presents a significant challenge in early diagnosis due to the invasive nature and equipment dependency of traditional diagnostic methods such as nail biopsy and dermatoscope ima...
Self-supervised multi-modality learning for multi-label skin lesion classification.
Computer methods and programs in biomedicine
Jun 1, 2025
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical modalities. Dermoscopic images provide detailed views of surface structures, while clinical images offer complementary macroscopic information. Clini...
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