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Fig. 3 | Cancer Imaging

Fig. 3

From: Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study

Fig. 3

Comparison of Segmentation Results Across Different Cases in the All-sequence Model. (A) T1-w sequence, showing the image of a 62-year-old female patient diagnosed with neurofibroma. (B) T2-w sequence, showing the image of a 36-year-old male patient diagnosed with schwannoma. (C) DWI sequence, showing the image of a 45-year-old female patient diagnosed with schwannoma. (D) CET1-w sequence, showing the image of a 30-year-old male patient diagnosed with giant cell tumor of bone. The first row shows the original images, the second row presents the manual segmentation results, and the third row shows the model’s predicted segmentation results. The segmentation performance for T2-w is superior to that of the other sequences

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Cancer Imaging

ISSN: 1470-7330

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