Computational Pathology Course : 16th January 2020

The department of pathology will be hosting the first Computational Pathology speciality conference in India.

This course is catered to pathologists, medical practitioners, software and data science engineers. It will give participants a broad overview of the various nuances of digital pathology and introduce them to the exciting world of computational pathology, machine learning, deep learning and artificial intelligence. Case based examples will give participants an insight into the tremendous potential of computational pathology and interactive sessions with the experts are planned to guide diagnosticians and researchers adopt the newer techniques and improve on their existing algorithms.

A half day coding workshop for algorithm development  is also planned for 17th of January (Between 8.30 am to 2 pm). This will require a separate registration (Registration Fee: INR 500). Please email  Dr Paromita Roy ( for further details of the workshop.


8-8.30 am

Registration and breakfast


8.30 – 9.00 am

Moving pathology into the digital age  – how to get your lab ready for digital and computational pathology

Sylvia Asa (Canada)


9.00 – 9.30am

Facing the inevitable digital future in pathology : Indian perspective

Sangeeta Desai (TMH, Mumbai)




9.30 – 10.05am

Impact of digital pathology and artificial intelligence tools in current day clinical practice

Anil Parwani (USA)


 10 min discussion


10.15 – 10.30am







Case based examples in machine learning – defining the problem

Margaret Brandwein


 10 min discussion


11.15 – 12.00pm

Machine learning and deep learning – A layman’s guide

Scott Doyle (Buffalo Univ, USA)




12.00 – 12.30pm

Tissue issues – Regulations and ethical issues in AI research

Anil Parwani (USA)




12.30 –  1.30pm






1.30 – 2.00pm

Validation and trouble shooting in computational pathology

Margaret Brandwein(USA)


2.00 – 3.00pm

Panel discussion – perspectives and issues in digital and computational pathology

Panelists : Anil Parwani, Margaret Brandwein, Scott Doyle, Saroj Mishra, Manoj Singh, Sangeeta Desai, Swarnalata Gowrishankar, Kirti Chaddha

Sujay Prasad (Anand Labs, Bangalore)


3.00 – 3.30pm






3.30 – 4.00 pm

Path Presenter – An open platform for enhancing education, practice and research using digital pathology

Rajendra Singh (USA)




4.00 – 6.00 pm



4.00 – 4.20 pm


4.20 – 4.35 pm


4.35 – 4.55 pm


4.55 – 5.10 pm


5.10 – 6.00 pm

AI in India – personal experience – data scientist and pathologists


1.    Seeing the Invisible in Pathology using Deep Learning – Amit Sethi

2.    Computational Pathology – An Indian Pathologists Perspective – Swapnil Rane

3.    Accelerating High Throughput Digital Pathology with Deep Super Resolution – Debdoot Sheet

4.    Adopting digital pathology – experience from a tertiary care oncology centre – Rajiv Kumar

5.    Indian studies by various presenters

Indian speakers –

1.       Amit Sethi (IIT, Mumbai)

2.       Swapnil Rane(TMH, Mumbai)

3.       Indu Arun (TMC, Kol)

4.       Sambit Mohanty(Apollo,Bhuwaneshwar)

5.       Debdoot Sheet (IIT, Kharagpur)

6.       Manoj Singh(AIIMS, New Delhi)


High tea and vote of thanks


Department of Pathology @ Tata Medical Center, Kolkata, India