1 code implementation • 3 Dec 2023 • Saurav Sengupta, Donald E. Brown
Deep learning for histopathology has been successfully used for disease classification, image segmentation and more.
Caption Generation Histopathological Image Classification +4
1 code implementation • 10 Nov 2023 • Saurav Sengupta, Donald E. Brown
In this work, we show that using an existing pre-trained Vision Transformer in a two-step process of first using it to encode 4096x4096 sized patches of the Whole Slide Image (WSI) and then using it as the encoder and an LSTM decoder for report generation, we can build a fairly performant and portable report generation mechanism that takes into account the whole of the high resolution image, instead of just the patches.
no code implementations • 7 Sep 2023 • Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
Previous methods use Maximum Intensity Projection (MIP) to convert immunofluorescent images with multiple slices to 2D images, which can cause signals from different z-stacks to falsely appear associated with each other.
no code implementations • 5 Oct 2022 • Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Donald E. Brown, Lorna Thorpe, Melissa A Haendel, Christopher G Chute, Stephanie Hong
Using our deep learning approach, we are able to predict if a patient is suffering from Long COVID from a temporally ordered list of diagnosis codes up to 45 days post the first COVID positive test or diagnosis for each patient, with an accuracy of 70. 48\%.
no code implementations • 29 Jul 2022 • Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
In this study, we used a weakly supervised learning approach to train the HoVer-Net segmentation model using point annotations to detect nuclei in fluorescent images.
1 code implementation • 29 Jun 2022 • Yash Sharma, Sana Syed, Donald E. Brown
Nuclei vary substantially in structure and appearances across different cancer types, leading to a drop in performance of deep learning models when trained on one cancer type and tested on another.
1 code implementation • 26 Apr 2022 • Yash Sharma, Nick Coronato, Donald E. Brown
Exercise testing has been available for more than a half-century and is a remarkably versatile tool for diagnostic and prognostic information of patients for a range of diseases, especially cardiovascular and pulmonary.
1 code implementation • 14 Jun 2021 • Mojtaba Heidarysafa, Kamran Kowsari, Masoud Bashiri, Donald E. Brown
The growth of the data science field requires better tools to understand such a fast-paced growing domain.
no code implementations • 13 Jun 2021 • Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown
In this work, we compare the performance of features extracted from networks trained on ImageNet and histopathology data.
1 code implementation • 19 Mar 2021 • Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown
We regularized the clustering mechanism by introducing a KL-divergence loss between the attention weights of patches in a cluster and the uniform distribution.
no code implementations • 13 Jan 2021 • William Adorno III, Alexis Catalano, Lubaina Ehsan, Hans Vitzhum von Eckstaedt, Barrett Barnes, Emily McGowan, Sana Syed, Donald E. Brown
A U-Net model and post-processing system are applied to generate eosinophil-based statistics that can diagnose EoE as well as describe disease severity and progression.
no code implementations • 8 May 2020 • Rasoul Sali, Sodiq Adewole, Lubaina Ehsan, Lee A. Denson, Paul Kelly, Beatrice C. Amadi, Lori Holtz, Syed Asad Ali, Sean R. Moore, Sana Syed, Donald E. Brown
The results indicate that the hierarchical model can achieve better results than the flat model for multi-category diagnosis of GI disorders using histopathological images.
no code implementations • 13 Apr 2020 • Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Analyzing the ever-increasing volume of posts on social media sites such as Facebook and Twitter requires improved information processing methods for profiling authorship.
no code implementations • 1 Feb 2020 • Sodiq Adewole, Erfaneh Gharavi, Benjamin Shpringer, Martin Bolger, Vaibhav Sharma, Sung Ming Yang, Donald E. Brown
Based on training on our dataset, the models score the trainees' responses for cultural awareness in the Chinese culture.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 9 Dec 2019 • Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Online propaganda is central to the recruitment strategies of extremist groups and in recent years these efforts have increasingly extended to women.
no code implementations • 7 Oct 2019 • Rasoul Sali, Lubaina Ehsan, Kamran Kowsari, Marium Khan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown
These results demonstrate the diagnostic power of the proposed model for CD severity classification using histological images.
1 code implementation • 4 Sep 2019 • Aman Shrivastava, Will Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown
We propose a Self-Attentive Adversarial Stain Normalization (SAASN) approach for the normalization of multiple stain appearances to a common domain.
no code implementations • 8 Aug 2019 • Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung-Jun Kang, Marium Khan, Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed
Physicians use biopsies to distinguish between different but histologically similar enteropathies.
2 code implementations • 17 Apr 2019 • Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown
In this paper, a brief overview of text classification algorithms is discussed.
no code implementations • 10 Apr 2019 • Kamran Kowsari, Rasoul Sali, Marium N. Khan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown
We evaluated the performance of our proposed model using a large cohort containing 1000 biopsy images.
1 code implementation • 15 Nov 2018 • Mojtaba Heidarysafa, James Reed, Kamran Kowsari, April Celeste R. Leviton, Janet I. Warren, Donald E. Brown
This method could provide another way to collect users' activities during an online session given that the session recorder collected the data.
1 code implementation • 17 Oct 2018 • Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown
These reports contain a variety of fixed field entries including primary cause of the accidents (a coded variable with 389 values) as well as a narrative field which is a short text description of the accident.
1 code implementation • 23 Aug 2018 • Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
In this paper, we describe RMDL model and compare the results for image and text classification as well as face recognition.
1 code implementation • 3 May 2018 • Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep learning approach for classification.
3 code implementations • 24 Sep 2017 • Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
This is because along with this growth in the number of documents has come an increase in the number of categories.
Ranked #1 on Document Classification on WOS-46985
no code implementations • 3 Nov 2016 • Wei Xie, Yang Wang, Steven M. Boker, Donald E. Brown
Leveraging this new method, we propose two new secure protocols for conducting logistic regression in a privacy-preserving and distributed manner.