Search Results for author: Rachana Sathish

Found 10 papers, 3 papers with code

Task-driven Prompt Evolution for Foundation Models

no code implementations26 Oct 2023 Rachana Sathish, Rahul Venkataramani, K S Shriram, Prasad Sudhakar

In this work, we propose a plug-and-play Prompt Optimization Technique for foundation models like SAM (SAMPOT) that utilizes the downstream segmentation task to optimize the human-provided prompt to obtain improved performance.

Image Segmentation Segmentation +2

Identification of Cervical Pathology using Adversarial Neural Networks

no code implementations28 Apr 2020 Abhilash Nandy, Rachana Sathish, Debdoot Sheet

Various screening and diagnostic methods have led to a large reduction of cervical cancer death rates in developed countries.

Image Classification

Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging

no code implementations3 Aug 2019 Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet

In this paper, we present a data-driven fully automated method for estimation of core and penumbra in ischaemic lesions using diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) sequence maps of MRI.

Segmentation Semantic Segmentation

Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network

no code implementations10 Jun 2019 Rachana Sathish, Debdoot Sheet

Convolutional neural networks (CNN) are generally designed with a heuristic initialization of network architecture and trained for a certain task.

Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos

no code implementations20 May 2019 Shanka Subhra Mondal, Rachana Sathish, Debdoot Sheet

Surgical workflow analysis is of importance for understanding onset and persistence of surgical phases and individual tool usage across surgery and in each phase.

Multi-Task Learning

Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy

no code implementations7 Feb 2019 Oindrila Saha, Rachana Sathish, Debdoot Sheet

This paper proposes a method for the automated segmentation of retinal lesions and optic disk in fundus images using a deep fully convolutional neural network for semantic segmentation.

Segmentation Semantic Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.