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Datasets:
PallabDev
/
BraTS-2024-Complete

Tasks:
Image Segmentation
Languages:
English
Size:
10B<n<100B
Tags:
medical-imaging
brain-tumor
segmentation
mri
brats-2024
brats
License:
Dataset card Files
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PallabDev Spirit-26 commited on
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Duplicate from Spirit-26/BraTS-2024-Complete

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Co-authored-by: Shardul Dhekane <Spirit-26@users.noreply.huggingface.co>

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  29. BraTS-GLI/train/BraTS-GLI-00008-101/BraTS-GLI-00008-101-seg.nii.gz +3 -0
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1
+ @misc{baid2021rsnaasnrmiccai,
2
+ title={The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification},
3
+ author={Ujjwal Baid and Satyam Ghodasara and Suyash Mohan and Michel Bilello and Evan Calabrese and Errol Colak and Keyvan Farahani and Jayashree Kalpathy-Cramer and Felipe C. Kitamura and Sarthak Pati and Luciano M. Prevedello and Jeffrey D. Rudie and Chiharu Sako and Russell T. Shinohara and Timothy Bergquist and Rong Chai and James Eddy and Julia Elliott and Walter Reade and Thomas Schaffter and Thomas Yu and Jiaxin Zheng and Ahmed W. Moawad and Luiz Otavio Coelho and Olivia McDonnell and Elka Miller and Fanny E. Moron and Mark C. Oswood and Robert Y. Shih and Loizos Siakallis and Yulia Bronstein and James R. Mason and Anthony F. Miller and Gagandeep Choudhary and Aanchal Agarwal and Cristina H. Besada and Jamal J. Derakhshan and Mariana C. Diogo and Daniel D. Do-Dai and Luciano Farage and John L. Go and Mohiuddin Hadi and Virginia B. Hill and Michael Iv and David Joyner and Christie Lincoln and Eyal Lotan and Asako Miyakoshi and Mariana Sanchez-Montano and Jaya Nath and Xuan V. Nguyen and Manal Nicolas-Jilwan and Johanna Ortiz Jimenez and Kerem Ozturk and Bojan D. Petrovic and Chintan Shah and Lubdha M. Shah and Manas Sharma and Onur Simsek and Achint K. Singh and Salil Soman and Volodymyr Statsevych and Brent D. Weinberg and Robert J. Young and Ichiro Ikuta and Amit K. Agarwal and Sword C. Cambron and Richard Silbergleit and Alexandru Dusoi and Alida A. Postma and Laurent Letourneau-Guillon and Gloria J. Guzman Perez-Carrillo and Atin Saha and Neetu Soni and Greg Zaharchuk and Vahe M. Zohrabian and Yingming Chen and Milos M. Cekic and Akm Rahman and Juan E. Small and Varun Sethi and Christos Davatzikos and John Mongan and Christopher Hess and Soonmee Cha and Javier Villanueva-Meyer and John B. Freymann and Justin S. Kirby and Benedikt Wiestler and Priscila Crivellaro and Rivka R. Colen and Aikaterini Kotrotsou and Daniel Marcus and Mikhail Milchenko and Arash Nazeri and Hassan Fathallah-Shaykh and Roland Wiest and Andras Jakab and Marc-Andre Weber and Abhishek Mahajan and Bjoern Menze and Adam E. Flanders and Spyridon Bakas},
4
+ year={2021},
5
+ eprint={2107.02314},
6
+ archivePrefix={arXiv},
7
+ primaryClass={cs.CV}
8
+ }
9
+ @ARTICLE{6975210,
10
+ author={Menze, Bjoern H. and Jakab, Andras and Bauer, Stefan and Kalpathy-Cramer, Jayashree and Farahani, Keyvan and Kirby, Justin and Burren, Yuliya and Porz, Nicole and Slotboom, Johannes and Wiest, Roland and Lanczi, Levente and Gerstner, Elizabeth and Weber, Marc-André and Arbel, Tal and Avants, Brian B. and Ayache, Nicholas and Buendia, Patricia and Collins, D. Louis and Cordier, Nicolas and Corso, Jason J. and Criminisi, Antonio and Das, Tilak and Delingette, Hervé and Demiralp, Çağatay and Durst, Christopher R. and Dojat, Michel and Doyle, Senan and Festa, Joana and Forbes, Florence and Geremia, Ezequiel and Glocker, Ben and Golland, Polina and Guo, Xiaotao and Hamamci, Andac and Iftekharuddin, Khan M. and Jena, Raj and John, Nigel M. and Konukoglu, Ender and Lashkari, Danial and Mariz, José António and Meier, Raphael and Pereira, Sérgio and Precup, Doina and Price, Stephen J. and Raviv, Tammy Riklin and Reza, Syed M. S. and Ryan, Michael and Sarikaya, Duygu and Schwartz, Lawrence and Shin, Hoo-Chang and Shotton, Jamie and Silva, Carlos A. and Sousa, Nuno and Subbanna, Nagesh K. and Szekely, Gabor and Taylor, Thomas J. and Thomas, Owen M. and Tustison, Nicholas J. and Unal, Gozde and Vasseur, Flor and Wintermark, Max and Ye, Dong Hye and Zhao, Liang and Zhao, Binsheng and Zikic, Darko and Prastawa, Marcel and Reyes, Mauricio and Van Leemput, Koen},
11
+ journal={IEEE Transactions on Medical Imaging},
12
+ title={The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)},
13
+ year={2015},
14
+ volume={34},
15
+ number={10},
16
+ pages={1993-2024},
17
+ keywords={Image segmentation;Educational institutions;Benchmark testing;Biomedical imaging;Lesions;MRI;Brain;Oncology/tumor;Image segmentation;Benchmark},
18
+ doi={10.1109/TMI.2014.2377694}}
19
+
20
+ @article{bakas_advancing_2017,
21
+ title = {Advancing {The} {Cancer} {Genome} {Atlas} glioma {MRI} collections with expert segmentation labels and radiomic features},
22
+ volume = {4},
23
+ issn = {2052-4463},
24
+ url = {https://doi.org/10.1038/sdata.2017.117},
25
+ doi = {10.1038/sdata.2017.117},
26
+ abstract = {Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for both clinical and computational studies, including radiomic and radiogenomic analyses. Towards this end, we release segmentation labels and radiomic features for all pre-operative multimodal magnetic resonance imaging (MRI) (n=243) of the multi-institutional glioma collections of The Cancer Genome Atlas (TCGA), publicly available in The Cancer Imaging Archive (TCIA). Pre-operative scans were identified in both glioblastoma (TCGA-GBM, n=135) and low-grade-glioma (TCGA-LGG, n=108) collections via radiological assessment. The glioma sub-region labels were produced by an automated state-of-the-art method and manually revised by an expert board-certified neuroradiologist. An extensive panel of radiomic features was extracted based on the manually-revised labels. This set of labels and features should enable i) direct utilization of the TCGA/TCIA glioma collections towards repeatable, reproducible and comparative quantitative studies leading to new predictive, prognostic, and diagnostic assessments, as well as ii) performance evaluation of computer-aided segmentation methods, and comparison to our state-of-the-art method.},
27
+ number = {1},
28
+ journal = {Scientific Data},
29
+ author = {Bakas, Spyridon and Akbari, Hamed and Sotiras, Aristeidis and Bilello, Michel and Rozycki, Martin and Kirby, Justin S. and Freymann, John B. and Farahani, Keyvan and Davatzikos, Christos},
30
+ month = sep,
31
+ year = {2017},
32
+ pages = {170117},
33
+ }
34
+ @article{bakas2017segmentation_2,
35
+ title={Segmentation labels and radiomic features for the pre-operative scans of the TCGA-LGG collection},
36
+ author={Bakas, Spyridon and Akbari, Hamed and Sotiras, Aristeidis and Bilello, Michel and Rozycki, Martin and Kirby, Justin and Freymann, John and Farahani, Keyvan and Davatzikos, Christos},
37
+ journal={The cancer imaging archive},
38
+ volume={286},
39
+ year={2017}
40
+ }
41
+ @article{bakas2017segmentation_1,
42
+ title={Segmentation labels for the pre-operative scans of the TCGA-GBM collection.},
43
+ journal={The cancer imaging archive},
44
+ author={Bakas, S and Akbari, H and Sotiras, A and others},
45
+ year={2017}
46
+ }
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