48 citations · 58 across the 4 of their papers we have counts for
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cs.CV2018★ 48 cited
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…
cs.LG2018★ 9 cited
Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations
Mei Lin, Vanya Jaitly, Iris Wang +6
We explore how Deep Learning (DL) can be utilized to predict prognosis of acute myeloid leukemia (AML). Out of TCGA (The Cancer Genome Atlas) database, 94 AML cases are used in thi…