4 papers
Artificial intelligence application in lymphoma diagnosis: from Convolutional Neural Network to Vision Transformer
Daniel Rivera, Jacob Huddin, Alexander Banerjee +6
Recently, vision transformers were shown to be capable of outperforming convolutional neural networks when pretrained on sufficiently large datasets. Vision transformer models show…
Telepathology in Hematopathology Diagnostics: A Collaboration Between Ho Chi Minh City Oncology Hospital and University of Texas Health-McGovern Medical School
Uyen Ly, Quang Nguyen, Dang Nguyen +7
Digital pathology in the form of whole-slide-imaging has been used to support diagnostic consultation through telepathology. Previous studies have mostly addressed the technical as…
Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning
Hanadi El Achi, Tatiana Belousova, Lei Chen +6
Recent studies have shown promising results in using Deep Learning to detect malignancy in whole slide imaging. However, they were limited to just predicting positive or negative f…
Proteomics Analysis of FLT3-ITD Mutation in Acute Myeloid Leukemia Using Deep Learning Neural Network
Christine A. Liang, Lei Chen, Amer Wahed +1
Deep Learning can significantly benefit cancer proteomics and genomics. In this study, we attempt to determine a set of critical proteins that are associated with the FLT3-ITD muta…