IXXXIContents

Recent trends, techniques, and algorithms for medical image segmentation and classification 1 1.1 Introduction  1 1.1.1Image modalities and associated challenges  2 1.1.2Datasets  3 1.1.3Performance metrics for medical image segmentation  7 1.2 Medical image segmentation and analysis algorithms  8 1.3 Performance analysis and discussion  12 1.3.1 Major observations  20 1.4 Challenges in medical image segmentation  21 1.5 Best practices and countermeasures  21 1.6 Future directions  22 2 Recent advancements in state-of-the-art brain-tumor detection and segmentation  24 2.1 Introduction  24 2.2 Brain-tumor segmentation techniques  25 2.2.1 Traditional approaches  25 2.2.2 Machine learning-based approaches  28 2.2.3 Deep learning-based approaches  29 2.3 Publicly available datasets  39 2.3.1 BraTS challenge datasets  39 2.3.2TCIA collections  39 2.3.3BrainWeb  40 2.3.4Other benchmark repositories  40 2.3.5 General observations and limitations  40 2.4 Discussion  40 2.4.1 Comparative insights  40 2.4.2Key challenges  41 2.5 Conclusion and future directions  41