233 citations · 299 across the 12 of their papers we have counts for
14 papers
Development of Diabetic Foot Ulcer Datasets: An Overview
Moi Hoon Yap, Connah Kendrick, Neil D. Reeves +3
This paper provides conceptual foundation and procedures used in the development of diabetic foot ulcer datasets over the past decade, with a timeline to demonstrate progress. We c…
Automated Kidney Segmentation by Mask R-CNN in T2-weighted Magnetic Resonance Imaging
Manu Goyal, Junyu Guo, Lauren Hinojosa +2
Despite the recent advances of deep learning algorithms in medical imaging, the automatic segmentation algorithms for kidneys in MRI exams are still scarce. Automated segmentation…
Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs
Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun +4
Background: Deep learning has great potential to assist with detecting and triaging critical findings such as pneumoperitoneum on medical images. To be clinically useful, the perfo…
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18
There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…
A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection
Manu Goyal, Saeed Hassanpour
Diabetic Foot Ulcers (DFU) that affect the lower extremities are a major complication of diabetes. Each year, more than 1 million diabetic patients undergo amputation due to failur…
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities
Manu Goyal, Thomas Knackstedt, Shaofeng Yan +1
Recently, there has been great interest in developing Artificial Intelligence (AI) enabled computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasin…