Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification

被引：0

作者：

Tinauer, Christian ^{[1
]}

Damulina, Anna ^{[1
]}

Sackl, Maximilian ^{[1
]}

Soellradl, Martin ^{[2
]}

Achtibat, Reduan ^{[3
]}

Dreyer, Maximilian ^{[1
]}

Pahde, Frederik ^{[3
]}

Lapuschkin, Sebastian ^{[3
]}

Schmidt, Reinhold ^{[1
]}

Ropele, Stefan ^{[1
]}

Samek, Wojciech ^{[3
,4
,5
]}

Langkammer, Christian ^{[1
]}

机构：

[1] Department of Neurology, Medical University of Graz, Graz,8036, Austria

[2] Department of Radiology and Radiological Sciences, Monash University, Victoria,3800, Australia

[3] Fraunhofer Heinrich Hertz Institute, Berlin,10587, Germany

[4] Technische Universität Berlin, Berlin,10623, Germany

[5] BIFOLD, Berlin Institute for the Foundations of Learning and Data, Berlin,10587, Germany

来源：

arXiv |

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Backpropagation - Brain - Computer aided diagnosis - Convolutional neural networks - Image segmentation

引用

共 50 条

[41] Systematic study on deep learning-based plant disease detection or classification
Sunil, C. K.
Jaidhar, C. D.
Patil, Nagamma
ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (12) : 14955 - 15052
[42] A Deep Learning-Based Approach in Classification and Validation of Tomato Leaf Disease
Wagle, Shivali Amit
Harikrishnan, R.
TRAITEMENT DU SIGNAL, 2021, 38 (03) : 699 - 709
[43] Improving Deep Learning-based Plant Disease Classification with Attention Mechanism
Alirezazadeh, Pendar
Schirrmann, Michael
Stolzenburg, Frieder
GESUNDE PFLANZEN, 2023, 75 (01): : 49 - 59
[44] Deep learning-based Intraoperative MRI reconstruction
Ottesen, Jon Andre
Storas, Tryggve
Vatnehol, Svein Are Sirirud
Lovland, Grethe
Vik-Mo, Einar Osland
Schellhorn, Till
Skogen, Karoline
Larsson, Christopher
Bjornerud, Atle
Groote-Eindbaas, Inge Rasmus
Caan, Matthan W. A.
EUROPEAN RADIOLOGY EXPERIMENTAL, 2025, 9 (01)
[45] Brain MRI-based Wilson disease tissue classification: an optimised deep transfer learning approach
Saba, L.
Agarwal, M.
Sanagala, S. S.
Gupta, S. K.
Sinha, G. R.
Johri, A. M.
Khanna, N. N.
Mavrogeni, S.
Laird, J. R.
Pareek, G.
Miner, M.
Sfikakis, P. P.
Protogerou, A.
Viswanathan, V.
Kitas, G. D.
Suri, J. S.
ELECTRONICS LETTERS, 2020, 56 (25) : 1395 - 1397
[46] Deep Learning Based Binary Classification for Alzheimer's Disease Detection using Brain MRI Images
Hussain, Emtiaz
Hasan, Mahmudul
Hassan, Syed Zafrul
Azmi, Tanzina Hassan
Rahman, Md Anisur
Parvez, Mohammad Zavid
PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 1115 - 1120
[47] Reconstruction and Classification of Brain Strokes Using Deep Learning-Based Microwave Imaging
Mousavi, Sayyed Saleh Sayyed
Majedi, Mohammad Saeed
IEEE ACCESS, 2025, 13 : 27024 - 27036
[48] Explainable Transfer Learning-Based Deep Learning Model for Pelvis Fracture Detection
Kassem, Mohamed A. A.
Naguib, Soaad M. M.
Hamza, Hanaa M. M.
Fouda, Mostafa M. M.
Saleh, Mohamed K. K.
Hosny, Khalid M. M.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2023, 2023
[49] Identification and detection of brain tumour using deep learning-based classification MRI applied using neural network and machine learning algorithm
Mishra B.
Gopal K.M.
Patnaik S.
Paikaray B.K.
International Journal of Reasoning-based Intelligent Systems, 2023, 15 (3-4): : 228 - 234
[50] Highly Efficient and Accurate Deep Learning-Based Classification of MRI Contrast on a CPU and GPU
Gai, Neville D.
JOURNAL OF DIGITAL IMAGING, 2022, 35 (03) : 482 - 495

← 1 2 3 4 5 →