{"id":43613,"date":"2023-11-20T03:41:11","date_gmt":"2023-11-20T09:41:11","guid":{"rendered":"https:\/\/stage.cancerimagingarchive.net\/collection\/sn-am\/"},"modified":"2024-09-26T16:17:06","modified_gmt":"2024-09-26T21:17:06","slug":"sn-am","status":"publish","type":"tcia_collection","link":"https:\/\/stage.cancerimagingarchive.net\/collection\/sn-am\/","title":{"rendered":"SN-AM"},"featured_media":0,"template":"","class_list":["post-43613","tcia_collection","type-tcia_collection","status-publish"],"cancer_types":["Leukemia","Multiple Myeloma"],"citations":[43605,43607,43609,9225],"collection_doi":"10.7937\/tcia.2019.of2w8lxr","collection_download_info":"","collection_downloads":[43611],"versions":false,"additional_resources":"","cancer_locations":["Blood","Bone"],"collection_page_accessibility":"Public","publications_related":"","version_change_log_archived":"<h3>Version 1 (Current): Updated 2019\/03\/26<\/h3><table><colgroup> <col \/> <col \/> <\/colgroup><tbody><tr><th>Data Type<\/th><th>Download all or Query\/Filter<\/th><\/tr><tr><td>Images (BMP, 2.9 GB)<\/td><td><div><p><a href=\"https:\/\/faspex.cancerimagingarchive.net\/aspera\/faspex?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjUzOCIsInBhc3Njb2RlIjoiMDk1MDUzYTgyZGNjMTk3MTA1OGI3MWRhYjM2NmVmNWNiNDUxNDVjMyIsInBhY2thZ2VfaWQiOiI1MzgiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0=\"><button><i><\/i> Download<\/button><\/a>\u00a0 <a href=\"https:\/\/pathdb.cancerimagingarchive.net\/imagesearch?f[0]=collection:sn_am\"><button><i><\/i> Search<\/button><\/a>\u00a0<\/p><p>(Download and apply the\u00a0<a href=\"https:\/\/www.ibm.com\/aspera\/connect\/\">IBM-Aspera-Connect plugin\u00a0<\/a>to your browser to retrieve this faspex package)\u00a0<\/p><\/div><\/td><\/tr><\/tbody><\/table>","collection_status":"Complete","publications_using":"<ul>\r\n \t<li>Ritu Gupta, Pramit Mallick, Rahul Duggal, Anubha Gupta, and Ojaswa Sharma, \"Stain Color Normalization and Segmentation of Plasma Cells in Microscopic Images as a Prelude to Development of Computer Assisted Automated Disease Diagnostic Tool in Multiple Myeloma,\" 16th International Myeloma Workshop (IMW), India, March 2017.<\/li>\r\n \t<li>Rahul Duggal, Anubha Gupta, Ritu Gupta, and Pramit Mallick, \"SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging,\" In: Descoteaux M., Maier- Hein L., Franz A., Jannin P., Collins D., Duchesne S. (eds) Medical Image Computing and Computer-Assisted Intervention \u2212 MICCAI 2017, MICCAI 2017. Lecture Notes in Computer Science, Part III, LNCS 10435, pp. 435\u2013443. Springer, Cham. DOI: <a href=\"https:\/\/doi.org\/10.1007\/978-3-319-66179-7_50\">https:\/\/doi.org\/10.1007\/978-3-319-66179-7_50<\/a> .<\/li>\r\n \t<li>Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, and Chirag Ahuja, \u201cOverlapping Cell Nuclei Segmentation in Microscopic Images UsingDeep Belief Networks,\u201d Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), India, December 2016.<\/li>\r\n<\/ul>\r\nTCIA maintains <a href=\"https:\/\/www.cancerimagingarchive.net\/publications\/\"> a list of publications<\/a> which leverage TCIA data. If you have a manuscript you'd like to add please<a href=\"http:\/\/www.cancerimagingarchive.net\/support\/\"> contact TCIA's Helpdesk<\/a>.","related_analysis_results":false,"species":["Human"],"version_number":"1","collection_title":"SN-AM Dataset: White Blood cancer dataset of B-ALL and MM for stain normalization","date_updated":"2019-03-26","related_collection":false,"subjects":"60","analysis_results":"","collection_short_title":"SN-AM","data_types":["Histopathology"],"version_change_log":"","collection_browse_title":"SN-AM","detailed_description":"<strong>Data subset-1: ALL images<\/strong>\r\n\r\nMicroscopic images were captured from bone marrow aspirate slides of patients diagnosed with B-lineage Acute Lymphoblastic Leukemia (B-ALL). Slides were stained using Jenner-Giemsa stain and lymphoblasts, that are cells of interest, have been evaluated. Images were captured in raw BMP format with a size of 2560x1920 pixels using Nikon Eclipse-200 microscope equipped with a digital camera at 1000x magnification. In all, this dataset consists of 30 images, wherein one image has been used as the reference image and the proposed stain normalization method has been tested on 29 images. For each of these 30 images, we have also provided two additional images that contain the nucleus mask and the background mask, respectively, for that particular image. For example, if the original file is saved with the name \u201cALL_1.bmp\u201d, the corresponding image with mask on the nuclei is saved as \u201cALL_1_nucleus_mask.bmp\u201d, and the corresponding image with mask on the background is saved as \u201cALL_1_background_mask.bmp Thus, in all, we have 90 images for this dataset.\r\n\r\n<strong>Data subset-2: MM images<\/strong>\r\n\r\nThe third data subset contains microscopic images captured from slides prepared from bone marrow aspirate collected from patients with Multiple Myeloma (MM). Slides are stained using Jenner-Giemsa stain and plasma cells, that are cells of interest, have been evaluated. A total of 30 images have been considered, wherein one image has been used as the reference image to which 29 images have been stain normalized. For each of these 30 images, we have also provided two additional images that contain the nucleus mask and the background mask, respectively, for that particular image. For example, if the original file is saved with the name \u201cMM_1.bmp\u201d, the corresponding image with mask on the nuclei is saved as \u201cMM_1_nucleus_mask.bmp\u201d, and the corresponding image with mask on the background is saved as \u201cMM_1_background_mask.bmp. In addition, for 17 images, the mask images are also provided for the cytoplasm of the plasma cells, namely, \u201cMM_1_cyto_mask.bmp. Thus, in all, we have 100 images for this dataset.","supporting_data":false,"collection_featured_image":false,"collection_summary":"<p>Microscopic images were captured from bone marrow aspirate slides of patients diagnosed with B-lineage Acute Lymphoid Leukemia (B-ALL) and Multiple Myeloma (MM) as per the standard guidelines. Slides were stained using Jenner-Giemsa stain. Images were captured at 1000x magnification using Nikon Eclipse-200 microscope equipped with a digital camera. Images were captured in raw BMP format with a size of 2560x1920 pixels. In all, this dataset consists of 90 images of B-ALL and 100 images of MM. Both MM and B-ALL images have sufficient variability from one image to another image to rigorously test any stain normalization methodology developed.\u00a0 More information about each subset are provided on the Detailed Description tab below.<\/p>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":"0","program":["Community"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43613","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_collection"}],"version-history":[{"count":1,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43613\/revisions"}],"predecessor-version":[{"id":47345,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43613\/revisions\/47345"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=43613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}