Feb 3, 2020 · VINet is an end-to-end model consisting of an importance estimation network and a classification network. The former produces a diagnostic ...
A visually interpretable network (VINet) which can generate diagnostic visual interpretations while making accurate diagnoses and extensive experiments have ...
In this paper, we propose a visually interpretable network (VINet) which can generate diagnostic visual interpretations while making accurate diagnoses. VINet ...
While classifying the benign and malignant lung cancer nodules, finding out which pixels have a greater impact on the classification.
In this paper, we propose a visually interpretable network (VINet) which can generate diagnostic visual interpretations while making accurate diagnoses. VINet ...
Jul 8, 2017 · In this paper, we propose MDNet to establish a direct multimodal mapping between medical images and diagnostic reports that can read images, generate ...
Missing: VINet: | Show results with:VINet:
Gu et al. [40] proposed a visually interpretable network (VINet) that generates visual interpretations while making accurate diagnoses. The main idea of the ...
Jan 19, 2022 · The proposed VINet achieved an 82.15% classification accuracy on a computed tomography image dataset (LUNA16). Furthermore, the authors compared ...
In this paper, we propose a visually interpretable network (VINet) which can generate diagnostic visual interpretations while making accurate diagnoses. VINet ...
VINet: A Visually Interpretable Image Diagnosis Network · Donghao GuYaowei Li ... A visually interpretable network (VINet) which can generate diagnostic visual ...