Digital image
archive set up to aid cancer research
Kolkata,
July 27 (IANS) Aiming to harness Artificial Intelligence (AI) and deep learning
methods for medical queries in the field of image banking, Indian Institute of
Technology (IIT) Kharagpur and Tata Medical Center (TMC) have created an
architecture image bio-bank to aid cancer research in the country, an official
said on Saturday.
The
bio-bank, named the Comprehensive Digital Archive of Cancer Imaging (CHAVI),
will address the emerging field of imaging-related research. On the success of
the pilot project, it can be scaled up to a larger set of medical images.
Medical
imagery can then be combined with AI to enable the reach of treatment to more
people as well as provide targeted therapy based on individual symptoms.
IIT
Kharagpur, through the National Digital Library Initiative (NDLI) of the
Ministry of Human Resources and Development (MHRD), has joined hands in
initiating a pilot project on developing an image data bank for cancer
patients, and the present focus is on radio oncology.
As a pilot,
radiation oncology-related images are being banked within the NDLICHAVI RO
project.
“The
overarching aim is to build up a national bank of annotated images with a
flexible query interface and link it with a pipeline of radiomic (extracting a
large amount of features from radiographic medical images) services for
furthering radiomic research in large image datasets,” the official said in a
statement.
Also, TMC
has created a large repository of medical data and images of cancer patients
including outcomes of treatment in many cases. It faced various challenges
while building this system. The first and foremost was preserving the anonymity
of patients as well as maintaining adequate referential integrity, a necessity
for carrying out useful research.
A workshop
titled “Structuring a Collaborative National Image Banking Program” supported
by MHRD through the NDLI project was organised here on Friday at TMC to enhance
the CHAVI project.
Several
expert doctors from India, the US, the UK and specialists in the area of
Computer Science from India participated in the panel discussions and
presentations.
“We need
more affordable solutions in India for cSancer treatment, the majority of our
patients are middle class and lower middle class and cannot afford genomic
analysis. Image banking combined with predictive/prescriptive AI can enable us
to identify signatures as a much more cost-effective alternative,” Sanjoy
Chatterjee, TMC, Kolkata said.
Source | https://newsd.in/d
No comments:
Post a Comment