An Approach for Live Motion Correction for TRUS-MR Prostate Fusion Biopsy using Deep Learning.

TRUS-MR fusion guided biopsy highly depends on the quality of alignment between pre-operative Magnetic Resonance (MR) image and live trans-rectal ultrasound (TRUS) image during biopsy. Lot of factors influence the alignment of prostate during the biopsy like rigid motion due to patient movement and deformation of the prostate due to probe pressure. For MR-TRUS alignment during live procedure, the efficiency of the algorithm and accuracy plays an important role.

Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset.

Aims: To present and validate a fully automated, deep learning (DL)-based branch-wise coronary artery calcium (CAC) scoring algorithm on a multi-centre dataset.

Methods And Results: We retrospectively included 1171 patients referred for a CAC computed tomography examination. Total CAC scores for each case were manually evaluated by a human reader.

Complete pancreatic duct disruption in an isolated pancreatic injury: successful endoscopic management.

Isolated pancreatic injury is uncommon and the management is challenging. Presentation is mostly delayed in such cases. We report a case of 26-year-old male, who was referred to our centre due to blunt abdominal trauma of 48 h duration with pain abdomen and vomiting.

Sero-diagnosis of Echinococcus granulosus infection in dogs using faecal supernatant antigen.

In the present study, sero-diagnosis of Echinococcus granulosus infection in dogs was studied using 250 field serum samples, collected from stray dogs. The three serological techniques viz., latex agglutination test (LAT), Dot-ELISA and enzyme immunotransfer blot (EITB) were used to detect E.

Association of nad7a Gene with Cytoplasmic Male Sterility in Pigeonpea.

Cytoplasmic male sterility (CMS) has been exploited in the commercial pigeonpea [Cajanus cajan (L.) Millsp.] hybrid breeding system; however, the molecular mechanism behind this system is unknown.