1 code implementation • 29 May 2023 • Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for research and clinical applications.
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 • 16 Jun 2020 • Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi
With the increase in the use of deep learning for computer-aided diagnosis in medical images, the criticism of the black-box nature of the deep learning models is also on the rise.
no code implementations • 6 Apr 2020 • Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Dhandapani Raju, Sudhir Kumar, R N Sahoo, Viswanathan Chinnusamy, J Adinarayana
The present investigation is carried out for discriminating drought tolerant, and susceptible genotypes.
1 code implementation • 16 Feb 2020 • Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi
We aim to provide a better interpretation of classification results by providing localization on microscopic histopathology images.
no code implementations • 31 Jan 2016 • Suman Kalyan Maity, Chaitanya Sarda, Anshit Chaudhary, Abhijeet Patil, Shraman Kumar, Akash Mondal, Animesh Mukherjee
Language in social media is mostly driven by new words and spellings that are constantly entering the lexicon thereby polluting it and resulting in high deviation from the formal written version.