Category Archives: A.I.

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Artificial Intelligence and the Haematopathologist

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A smart haematology analyser powered by AI is the new aid for a Hematopathologist The parting gift of the 20th century has been the unparalleled advancement in technology. As a consultant pathologist for the past 15 years with 8 years of specialized practice in haemato-oncopathology, I have witnessed a sea of technological transformation in laboratory […]

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SHONIT™ : A powerful yet simple tool for Pathologists

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I am a Consultant Pathologist and  since the last 9 years I have been working in the field of Hematology . In this last decade, I have seen several paradigm shift in the field of diagnostic pathology including a shift from conventional microscopy to automated analysers. Automation has taken several quantum leaps, right from its […]

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An attempt to understand deep neural nets using the Information Bottleneck theory

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At the very core of Deep Learning lies a silent demon called the optimization problem; While deep learning has pretty much started reshaping businesses, business processes and our lives in various ways, many of us still don’t have a clear understanding about the algorithm(s) governing it. This article is an attempt to understand how Deep […]

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Mysteries of the ROC curve

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Most Data Scientists would have come across the ROC (receiver operating characteristic) curve. It is often used to evaluate the performance of a binary classifier by measuring AUC (area under the curve) and to find an optimal probability threshold to get to the sweet spot in the sensitivity-specificity tradeoff. However, both theoretically and practically there […]

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Before your dreams begin to fly, it’s time to check if you buckled it right

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Today’s a big day for us. Its confirmed that we’ve made it to the fourth batch of Google’s Launchpad accelerator for start-ups. The latest class of Launchpad has start-ups from across Asia, Africa, Europe, and Latin America, including six from India. These companies will work closely with Google for six months. They get equity-free support, access to […]

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Segmentation of Images using Deep Learning

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In computer vision, image segmentation is the process of dividing an image into parts and extracting the regions of interest. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels having similar characteristics have the same label. Historically, most problems in computer vision involved using […]

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Medical Video Analytics and Deep Learning

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A wise person once said “A picture speaks a thousand words” citing the amount of information that is self-contained in a picture. Along the same lines, it wouldn’t be grossly wrong to say that “A video illustrates a thousand pictures”. Needless to say, the amount of information that can be extracted from a video is […]

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The art of teaching machines to interpret and analyse medical images

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Ever since the wonder invention of microscope by Anton van Leeuwenhoek and the discovery of the X-rays by Wilhelm Röntgen, the field of medical image analysis has developed into a life saving discipline, offering previously unattained opportunities for diagnosis. Medical images have, since then, played an important role in everyday medical practice. It is even […]

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Manthana: Our Indigenous AI Platform

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We at SigTuple, are building 5 different startups. Actually, we build smart screening solutions for the medical industry – to analyse peripheral blood smears, urine, semen, retinal scans and chest x-rays. These are 5 different startups right there if you look at it. We get asked often – “How are you able to work and […]

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Important Aspects in Smart Segmentation of Medical Objects of Interest

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Segmentation of object is an age old problem in computer vision. Also, it is the first step in many object recognition and tracking tasks. Image segmentation is the process of partitioning a digital image into multiple segments such that each segment make sense of the object of interest. Another view of object segmentation is to […]

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