Automatic Detection of Cerebral Microbleeds via Deep Learning based 3D Feature Representation

Chen, Hao ;   Yu, Lequan ;   Dou, Qi ;   Shi, Lin ;   Mok, Vincent CT ;   Heng, Pheng Ann

Tags Computer-aided detection and diagnosis (CAD)Machine learningPattern recognition and classification

Clinical identification and rating of the cerebral microbleeds (CMBs) are important in vascular diseases and dementia diagnosis. However, manual...

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Deep Learning for Automatic Cell Detection in Wide-Field Microscopy Zebrafish Images

Dong, Bo ;   Shao, Ling ;   Da Costa, Marc Michael John ;   Bandmann, Oliver ;   Frangi, Alejandro

Tags Machine learningMicroscopy - LightSingle cell & molecule detection

The zebrafish has become a popular experimental model organism for biomedical research. In this paper, a unique framework is proposed for...

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Deep Learning of Tissue Specific Speckle Representations in Optical Coherence Tomography and Deeper Exploration for in Situ Histology

Sheet, Debdoot ;   Karri, Sri Phani Krishna ;   Katouzian, Amin ;   Navab, Nassir ;   Ray, Ajoy Kumar ;   Chatterjee, Jyotirmoy

Tags Machine learningOptical coherence tomographySkin

Optical coherence tomography (OCT) relies on speckle image formation by coherent sensing of photons diffracted from a broadband laser...

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Tree Re-Weighted Belief Propagation using Deep Learning Potentials for Mass Segmentation from Mammograms

Dhungel, Neeraj ;   Carneiro, Gustavo ;   Bradley, Andrew Peter

Tags BreastX-ray imagingImage segmentation

In this paper, we propose a new method for the segmentation of breast masses from mammograms using a conditional random field (CRF) model...

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Using Deep Learning for Robustness to Parapapillary Atrophy in Optic Disc Segmentation

Srivastava, Ruchir ;   Cheng, Jun ;   Wong, Damon ;   Liu, Jiang

Tags Computer-aided detection and diagnosis (CAD)Retinal imagingEye

Optic Disc (OD) segmentation from retinal fundus images is important for many applications such as detecting other optic structures and...

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