no code implementations • 3 Nov 2023 • Sanskriti Singh
We present CheX-nomaly: a binary localization U-net model that leverages transfer learning techniques with the incorporation of an innovative contrastive learning approach.
no code implementations • 13 Jun 2022 • Sanskriti Singh
While nongated CT scans are more periodically taken, it is harder to detect calcification and is usually taken for a purpose other than locating calcification in arteries.
no code implementations • 6 Apr 2022 • Sanskriti Singh
The minimization of specific cases in binary classification, such as false negatives or false positives, grows increasingly important as humans begin to implement more machine learning into current products.
no code implementations • 4 Apr 2022 • Sanskriti Singh
We propose using a method performed by radiologists called image segmentation and applying it to machine learning models to prove a better segmentation.
no code implementations • 11 Aug 2020 • Sanskriti Singh
Automatic Chest Radiograph X-ray (CXR) interpretation by machines is an important research topic of Artificial Intelligence.