Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial

• Published in: IEEE sensors journal Vol. 21; no. 20; pp. 22304 - 22316
• Main Authors: Pianpanit, Theerasarn, Lolak, Sermkiat, Sawangjai, Phattarapong, Sudhawiyangkul, Thapanun, Wilaiprasitporn, Theerawit
• Format: Journal Article
• Language: English
• Published: New York IEEE 15.10.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Back propagation; Computed tomography; computer-aided diagnosis (CAD); Data processing; Deep learning; deep learning tutorial; Depletion; Diseases; explainable AI (XAI); Feedback; Image recognition; Medical imaging; Object recognition; Parkinson's disease; Photon emission; Single photon emission computed tomography; Solid modeling; SPECT image; Support vector machines; Three-dimensional displays; Tomography; Tutorials

In the past few years, there are several researches on Parkinson's disease (PD) recognition using single-photon emission computed tomography (SPECT) images with deep learning (DL) approach. However, the DL model's complexity usually results in difficultmodel interpretation when used in cli...