Saraswathy Sreeram

According to our database, Saraswathy Sreeram authored at least 7 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Semantic segmentation of low magnification effusion cytology images: A semi-supervised approach.

Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Comput. Biol. Medicine, 2022

Semantic Segmentation on Low Resolution Cytology Images of Pleural and Peritoneal Effusion.

Shajahan Aboobacker, Akash Verma, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Proceedings of the 27th National Conference on Communications, 2022

Semi-supervised Semantic Segmentation of Effusion Cytology Images Using Adversarial Training.

Mayank Rajpurohit, Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Proceedings of the Computer Vision and Machine Intelligence, 2022

Semi-supervised Semantic Segmentation for Effusion Cytology Images.

Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Proceedings of the Computer Vision and Machine Intelligence, 2022

2020

A Deep Learning Model For The Automatic Detection Of Malignancy In Effusion Cytology.

Shajahan Aboobacker, Deepu Vijayasenan, David S. Sumam, Pooja K. Suresh, Saraswathy Sreeram

Proceedings of the IEEE International Conference on Signal Processing, 2020

Deep Learning Model based Ki-67 Index estimation with Automatically Labelled Data.

S. Lakshmi, Kotra Venkata Sai Ritwik, Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, Pooja K. Suresh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

An Integrated Deep Learning Approach towards Automatic Evaluation of Ki-67 Labeling Index.

S. Lakshmi, Deepu Vijayasenan, David S. Sumam, Saraswathy Sreeram, Pooja K. Suresh

Proceedings of the TENCON 2019, 2019