[113] FR Lucchesi and ND Aredes. Radiology data from the cancer genome atlas cervical squamous cell carcinoma and endocervical adenocarcinoma (tcga-cesc) collection. the cancer imaging archive. Cancer Imaging Arch, 2016.
[114] S Kirk, Y Lee, CA Sadow, S Levine, C Roche, E Bonaccio, and J Filippini. Radiology data from the cancer genome atlas colon adenocarcinoma [tcga-coad] collection. The Cancer Imaging Archive, 2016.
[115] F. R. Lucchesi and N. D. Aredes. The cancer genome atlas esophageal carcinoma collection (tcga-esca) (version 3) [data set]. The Cancer Imaging Archive, 2016.
[116] MW Linehan, R Gautam, CA Sadow, and S Levine. Radiology data from the cancer genome atlas kidney chromophobe [tcga-kich] collection. The Cancer Imaging Archive, 2016.
[117] O Akin, P Elnajjar, M Heller, R Jarosz, B Erickson, S Kirk, and J Filippini. Radiology data from the cancer genome atlas kidney renal clear cell carcinoma [tcga-kirc] collection. The Cancer Imaging Archive, 1310, 2016.
[118] C Roche, E Bonaccio, and J Filippini. Radiology data from the cancer genome atlas sarcoma [tcga-sarc] collection. Cancer Imaging Arch. https://doi.org/10.7937 K, 9, 2016.
[119] Shenggan. Bccd dataset, 2017. URL https://github.com/Shenggan/BCCD_Dataset.
[120] Shiv Gehlot, Anubha Gupta, and Ritu Gupta. Sdct-auxnet $\theta$ : Dct augmented stain deconvolutional cnn with auxiliary classifier for cancer diagnosis. Medical image analysis, 61:101661, 2020.
[121] A Gupta and R Gupta. All challenge dataset of isbi 2019 [data set]. URL https://doi.org/10.7937/tcia.2019.dc64i46r, 2019.
[122] Rebecca Sawyer Lee, Francisco Gimenez, Assaf Hoogi, Kanae Kawai Miyake, Mia Gorovoy, and Daniel L Rubin. A curated mammography data set for use in computer-aided detection and diagnosis research. Scientific data, 4(1):1-9, 2017.
[123] R Sawyer Lee, F Gimenez, A Hoogi, and D Rubin. Curated breast imaging subset of ddsm. The Cancer Imaging Archive. DOI: https://doi.org/10.7937 K, 9, 2016.
[124] Linda Wang, Zhong Qiu Lin, and Alexander Wong. Covid-net: a tailored deep convolutional neural network design for detection of Covid-19 cases from chest x-ray images. Scientific Reports, 10(1):19549, Nov 2020. ISSN 2045-2322. doi: 10.1038/s41598-020-76550-z. URL https://doi.org/10.1038/s41598-020-76550-z.
[125] Daniel Kermany, Kang Zhang, Michael Goldbaum, et al. Labeled optical coherence tomography (oct) and chest x-ray images for classification. Mendeley data, 2(2):651, 2018.
[126] Salman Maqbool, Aqsa Riaz, Hasan Sajid, and Osman Hasan. m2caiseg: Semantic segmentation of laparoscopic images using convolutional neural networks. arXiv preprint arXiv:2008.10134, 2020.
[127] Mohamed Amgad, Habiba Elfandy, Hagar Hussein, Lamees A Atteya, Mai A T Elsebaie, Lamia S Abo Elnasr, Rokia A Sakr, Hazem S E Salem, Ahmed F Ismail, Anas M Saad, Joumana Ahmed, Maha A T Elsebaie, Mustafijur Rahman, Inas A Ruhban, Nada M Elgazar, Yahya Alagha, Mohamed H Osman, Ahmed M Alhusseiny, Mariam M Khalaf, Abo-Alela F Younes, Ali Abdulkarim, Duaa M Younes, Ahmed M Gadallah, Ahmad M Elkashash, Salma Y Fala, Basma M Zaki, Jonathan Beezley, Deepak R Chittajallu, David Manthey, David A Gutman, and Lee A D Cooper. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics, 35(18):3461-3467, 02 2019. ISSN 1367-4803. doi: 10.1093/bioinformatics/btz083. URL https://doi.org/10.1093/bioinformatics/btz083.
[128] Fabio Cuzzolin, Vivek Singh Bawa, Inna Skarga-Bandurova, Mohamed Mohamed, Jackson Ravindran Charles, Elettra Oleari, Alice Leporini, Carmela Landolfo, Armando Stabile, Francesco Setti, et al. Saras challenge on multi-domain endoscopic surgeon action detection, 2021.