Nehal Doiphode
YOU?
Author Swipe
View article: Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning
Volumetric Breast Density Estimation From Three-Dimensional Reconstructed Digital Breast Tomosynthesis Images Using Deep Learning Open
PURPOSE Breast density is a widely established independent breast cancer risk factor. With the increasing utilization of digital breast tomosynthesis (DBT) in breast cancer screening, there is an opportunity to estimate volumetric breast d…
View article: Developing the surgeon-machine interface: using a novel instance-segmentation framework for intraoperative landmark labelling
Developing the surgeon-machine interface: using a novel instance-segmentation framework for intraoperative landmark labelling Open
Introduction The utilisation of artificial intelligence (AI) augments intraoperative safety, surgical training, and patient outcomes. We introduce the term Surgeon-Machine Interface (SMI) to describe this innovative intersection between su…
View article: Developing the Surgeon-Machine Interface: A novel neurosurgical machine inference platform for intraoperative augmented intelligence
Developing the Surgeon-Machine Interface: A novel neurosurgical machine inference platform for intraoperative augmented intelligence Open
View article: Beyond mAP: Towards better evaluation of instance segmentation
Beyond mAP: Towards better evaluation of instance segmentation Open
Correctness of instance segmentation constitutes counting the number of objects, correctly localizing all predictions and classifying each localized prediction. Average Precision is the de-facto metric used to measure all these constituent…
View article: An Improved Learning Framework for Covariant Local Feature Detection
An Improved Learning Framework for Covariant Local Feature Detection Open
View article: A Large Dataset for Improving Patch Matching
A Large Dataset for Improving Patch Matching Open
We propose a new dataset for learning local image descriptors which can be used for significantly improved patch matching. Our proposed dataset consists of an order of magnitude more number of scenes, images, and positive and negative corr…