Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images
Cutaneous melanoma represents one of the most life-threatening malignancies.
Histopathological image analysis serves as a vital tool for early melanoma detection. Deep …
Histopathological image analysis serves as a vital tool for early melanoma detection. Deep …
A comprehensive survey on impact of applying various technologies on the internet of medical things
This paper explores the transformative impact of the Internet of Medical Things (IoMT) on
healthcare. By integrating medical equipment and sensors with the internet, IoMT enables …
healthcare. By integrating medical equipment and sensors with the internet, IoMT enables …
Artificial Intelligence-Enabled Internet of Medical Things (AIoMT) in Modern Healthcare Practices
W Shafik - Clinical Practice and Unmet Challenges in AI …, 2024 - igi-global.com
The integration of artificial intelligence (AI), the internet of things (IoT), with medical devices
avails the recent development in the medical sector, specifically digital health, referred to as …
avails the recent development in the medical sector, specifically digital health, referred to as …
A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems
M Nandagopal, K Seerangan, T Govindaraju, NE Abi… - Scientific Reports, 2024 - nature.com
In modern healthcare, integrating Artificial Intelligence (AI) and Internet of Medical Things
(IoMT) is highly beneficial and has made it possible to effectively control disease using …
(IoMT) is highly beneficial and has made it possible to effectively control disease using …