IEEE

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning

Abstract: Recent advances in deep learning have significantly improved the accuracy of skin lesion classification models, supporting medical diagnoses and promoting equitable healthcare. However, ...
IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...
MassDevice

DermaSensor wins CE mark for skin cancer detection device

[Image courtesy of DermaSensor] DermaSensor announced today that it received Class IIb CE mark approval for its skin cancer detection device. Miami-based Dermasensor develops a handheld device that ...
E!

MGK Reveals Blackout Tattoo Gave Him Illness That Turned His Skin Yellow

Machine Gun Kelly took the fast road in getting his blackout tattoo. The “Loney Road” hitmaker shared he experienced a medical emergency after getting his dramatic ink in a matter of weeks, despite ...
Us Weekly

Machine Gun Kelly Says His Skin Turned ‘Yellow’ After Completing Intense Blackout Tattoo in 2 Months

Machine Gun Kelly didn’t have the smoothest blackout tattoo process. MGK, 36 — whose real name is Colson Baker — opened up about getting sick from his ink while chatting with Billboard Canada in a new ...
Medical Xpress

Researchers use new machine learning method to detect self-harm history hidden in veterans' medical records

Important mental health history is often present in medical records but hard to find, especially when it is missing from the diagnosis codes that clinicians, researchers, and health systems use to ...