Deep learning and medical image processing techniques for diabetic retinopathy: a survey of applications, challenges, and future trends

P Uppamma, S Bhattacharya - Journal of Healthcare …, 2023 - Wiley Online Library
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the
world. It leads to the complete loss of vision based on the level of severity. It damages both …

[HTML][HTML] A machine learning approach for skin disease detection and classification using image segmentation

M Ahammed, M Al Mamun, MS Uddin - Healthcare Analytics, 2022 - Elsevier
Skin diseases are common health problems around the world. The perils of the infections
are invisible, which cause physical health distress as well as initiate mental depression. In …

Review on mechanobiological analysis and computational study of human tissue (soft and hard) using machine learning techniques: a mechanical perspective

AK Meher, EK Kumar, A Gangwar, SK Panda… - … Methods in Engineering, 2024 - Springer
This article reviewed current advancements in mechanobiology (MB) and its applications to
investigate human tissue (soft and hard) using machine learning (ML) techniques. The study …

SkinGPT-4: an interactive dermatology diagnostic system with visual large language model

J Zhou, X He, L Sun, J Xu, X Chen, Y Chu… - arXiv preprint arXiv …, 2023 - arxiv.org
Skin and subcutaneous diseases rank high among the leading contributors to the global
burden of nonfatal diseases, impacting a considerable portion of the population …

EfficientSkinDis: An EfficientNet-based classification model for a large manually curated dataset of 31 skin diseases

A Rafay, W Hussain - Biomedical Signal Processing and Control, 2023 - Elsevier
Skin diseases are a common health issue, affecting nearly one-third of the global
population, but they are often underestimated in terms of their impact despite being highly …

CanDiag: fog empowered transfer deep learning based approach for cancer diagnosis

A Pati, M Parhi, BK Pattanayak, B Sahu, S Khasim - Designs, 2023 - mdpi.com
Breast cancer poses the greatest long-term health risk to women worldwide, in both
industrialized and developing nations. Early detection of breast cancer allows for treatment …

[HTML][HTML] PF-FEDG: An open-source data generator for frequency disturbance event detection with deep-learning reference classifiers

Z Sun, M Ram, C Jiang, Q Wang, P Michael, B Juri… - Energy Reports, 2023 - Elsevier
Accurate and fast classification of FDEs is crucial to power systems situation awareness and
stability control. However, various database used in recent studies makes it hard to directly …

Mathematical framework for wearable devices in the internet of things using deep learning

OM Mirza, H Mujlid, H Manoharan, S Selvarajan… - Diagnostics, 2022 - mdpi.com
To avoid dire situations, the medical sector must develop various methods for quickly and
accurately identifying infections in remote regions. The primary goal of the proposed work is …

Recognition of diabetic retinopathy with ground truth segmentation using fundus images and neural network algorithm

PR Kshirsagar, H Manoharan… - Computational …, 2022 - Wiley Online Library
Diabetes problems can lead to a condition called diabetic retinopathy (DR), which
permanently damages the blood vessels in the retina. If not treated, DR is a significant cause …

Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4

J Zhou, X He, L Sun, J Xu, X Chen, Y Chu… - Nature …, 2024 - nature.com
Large language models (LLMs) are seen to have tremendous potential in advancing
medical diagnosis recently, particularly in dermatological diagnosis, which is a very …