Blog

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Personalisation in Cancer Care: In Discovery of a Middle Ground

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Onco-pathology has arguably been the centre of innovation within diagnostics. From undergoing a digital revolution to integrating genomic analysis, a deeper understanding of various causes and their interactions has emerged, helping clinicians tailor treatment measures and deal with recurrence. Specialised approaches that involve immunohistochemistry (IHC), molecular studies and cytogenetics, demand expertise and highly specialised equipment, […]

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नींव {(Neev)} – The Foundation

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At SigTuple, its a commitment we have made to ourselves…and that is to nurture talent . Most importantly, we feel it shouldn’t be just within the organization. We believe that any organization doesn’t matter how mighty it is, can survive for long unless it makes an investment in the success of its people. SigTuple is committed to make that investment in people […]

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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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Mechanical Engineering Challenges in Building a High Performance Hematology Auto-Scanner

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Shonit™ is a smart hematology analyser powered by advancements in artificial intelligence, image processing and cloud computing. One of the critical components of the solution is the smart scanner which enables to digitise the data efficiently for the AI models on the cloud. Today, I am going to talk about challenges involved in achieving the accuracy […]

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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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