no code implementations • 30 Nov 2020 • Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi
Performance of deep learning algorithms decreases drastically if the data distributions of the training and testing sets are different.
no code implementations • 5 Mar 2022 • Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Saqib Shamsi, Mohit Meena, Amit Sethi
We present WSSAMNet, a weakly supervised method for medical image registration.
no code implementations • 3 May 2022 • Nikhil Cherian Kurian, Amit Lohan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi
Although the U-Net architecture has been extensively used for segmentation of medical images, we address two of its shortcomings in this work.
no code implementations • 26 Aug 2022 • Ravi Kant Gupta, Shivani Nandgaonkar, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi
With our pipeline, we achieved an average area under the curve (AUC) of 0. 964 for tumor detection, and 0. 942 for histological subtyping between adenocarcinoma and squamous cell carcinoma on the TCGA dataset.
1 code implementation • 15 Sep 2022 • Tirupati Saketh Chandr, Sahar Almahfouz Nasser, Nikhil Cherian Kurian, Amit Sethi
The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade.
no code implementations • 22 Feb 2023 • Pranav Jeevan, Nikhil Cherian Kurian, Amit Sethi
Convolution Neural Networks (CNNs) are widely used in medical image analysis, but their performance degrade when the magnification of testing images differ from the training images.
Ranked #1 on Image Classification on BreakHis
Breast Cancer Histology Image Classification Image Classification
no code implementations • 17 Mar 2023 • Nikhil Cherian Kurian, Varsha S, Abhijit PATIL, Shashikant Khade, Amit Sethi
The outlier score derived from the OOD detector is used to modulate sample selection for the subsequent semi-SL stage, ensuring that samples conforming to the distribution of the few labeled samples are more frequently exposed to the subsequent semi-SL framework.
no code implementations • 16 Jul 2023 • Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi
The heterogeneity of breast cancer presents considerable challenges for its early detection, prognosis, and treatment selection.