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It was useful in Digit recognition. In particular the insight that image features are distributed across the entire image, and convolutions with learnable parameters are an effective way to extract similar features at multiple location with few parameters. It contains exactly 5 layers In 2010 Dan ...
x, digit = divmod(x, y) digit += bijective if digit < 0: x += 1 digit -= y digits.append(sign * digit) return digits[::-1] def to_base(x, y, bijective = False): x = real_part(x) y = real_part(y) partial = _to_base(int(x), y, bijective) partial[-1] += x ...
npj Digit. Med. 2, 56 (2019). Article Google Scholar Kalra, S. et al. Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence. npj Dig. Med. 3, 31 (2020). Article Google Scholar Kalra, S. et al. Yottixel–an image search engine ...
npj Digit. Med. 7, 143 (2024). https://doi.org/10.1038/s41746-024-01131-7 Download citation Received25 October 2023 Accepted08 May 2024 Published29 May 2024 DOIhttps://doi.org/10.1038/s41746-024-01131-7 Springer Nature Limited Share this article Anyone you share the following link with ...
J Digit Imaging, 22 (2009), pp. 250-258 CrossrefView in ScopusGoogle Scholar 51 ISO/IEC 15444-9: 2005 Information Technology – JPEG 2000 Image Coding System: Interactivity Tools, APIs and Protocols; 2005. Google Scholar 52 V Tuominen, J Isola Linking whole-slide microscope images with DI...
Detection of nodal micrometastasis (tumor size: 0.2–2.0 mm) is challenging for pathologists due to the small size of metastatic foci. Since lymph nodes with micrometastasis are counted as positive nodes, detecting micrometastasis is crucial for accur
MEMS gyroscope with concentrated springs suspensions demonstrating single digit frequency split and temperature robustness. J. Microelectromechanical Syst. 28, 25–35 (2018). Article Google Scholar Zaman, M. F., Sharma, A., Hao, Z. & Ayazi, F. A mode-matched silicon-yaw tuning-fork ...
It was useful in Digit recognition. In particular the insight that image features are distributed across the entire image, and convolutions with learnable parameters are an effective way to extract similar features at multiple location with few parameters. It contains exactly 5 layers In 2010 Dan ...
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to ...