most citedA CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 2 cited

A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

Nhan T. Nguyen, Dat Q. Tran, Nghia T. Nguyen +1

We propose a novel method that combines a convolutional neural network (CNN) with a long short-term memory (LSTM) mechanism for accurate prediction of intracranial hemorrhage on co…

cs.CV2020

Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels

Hieu H. Pham, Tung T. Le, Dat T. Ngo +2

The chest X-rays (CXRs) is one of the views most commonly ordered by radiologists (NHS),which is critical for diagnosis of many different thoracic diseases. Accurately detecting th…

eess.IV2019

Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels

Hieu H. Pham, Tung T. Le, Dat Q. Tran +2

Chest radiography is one of the most common types of diagnostic radiology exams, which is critical for screening and diagnosis of many different thoracic diseases. Specialized algo…