14 citations · 30 across the 7 of their papers we have counts for
7 papers
Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study
Mrinal Kanti Dhar, Chuanbo Wang, Yash Patel +5
Identifying individual tissues, so-called tissue segmentation, in diabetic foot ulcer (DFU) images is a challenging task and little work has been published, largely due to the limi…
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays
Mou Deb, Madhab Deb, Mrinal Kanti Dhar
Accurate teeth segmentation and orientation are fundamental in modern oral healthcare, enabling precise diagnosis, treatment planning, and dental implant design. In this study, we…
Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach
Yash Patel, Tirth Shah, Mrinal Kanti Dhar +4
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments.…
FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation
Mrinal Kanti Dhar, Taiyu Zhang, Yash Patel +2
This paper presents FUSegNet, a new model for foot ulcer segmentation in diabetes patients, which uses the pre-trained EfficientNet-b7 as a backbone to address the issue of limited…
S-R2F2U-Net: A single-stage model for teeth segmentation
Mrinal Kanti Dhar, Mou Deb
Precision tooth segmentation is crucial in the oral sector because it provides location information for orthodontic therapy, clinical diagnosis, and surgical treatments. In this pa…
Automatic tracing of mandibular canal pathways using deep learning
Mrinal Kanti Dhar, Zeyun Yu
There is an increasing demand in medical industries to have automated systems for detection and localization which are manually inefficient otherwise. In dentistry, it bears great…
Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks
Chuanbo Wang, DM Anisuzzaman, Victor Williamson +5
Acute and chronic wounds have varying etiologies and are an economic burden to healthcare systems around the world. The advanced wound care market is expected to exceed $22 billion…