TABLE 2.
Biomedical Image Segmentation Models. Here, CT is computed tomography, DSC is Dice similarity coefficient, AP is Average Precision, IoU is Intersection over Union, DOF is Depth of field, AUC is Area under curve, SHG is Second harmonic generation microscopy.
| Imaging Modality | Biomed Task | License | Reported Performance | Parameters Download | References |
|---|---|---|---|---|---|
| 3D microscopy | Nuclei detection | MIT | 0.937 AP | No | Hirsch and Kainmueller, (2020) |
| CT | Kidney tumor | GPL-3.0 | 0.95 Dice | No | Müller and Kramer, (2021) |
| CT | Pulmonary nodule | BSD-3-Clause | N/a | No | Hancock and Magnan, (2019) |
| CT | Pulmonary nodule | CC BY-NC-SA 4.0 | 0.55 IoU | Yes | Aresta et al. (2019) |
| CT | Pulmonary nodule | MIT | 0.83 DSC | No | Keetha et al. (2020) |
| CT | Pancreas & Brain tumor | MIT | 0.84 Dice | No | Oktay et al. (2018) |
| CT, Dermatoscopy | Lung tumor and Skin tumor | N/a | 0.9965 Jaccard | No | Kaul et al. (2019) |
| CT | Brain tumor | Apache 2.0 | 0.89 Dice | No | Isensee et al. (2018) |
| MRI | Brain tumor | Apache 2.0 | 0.79 Dice | No | Wang et al. (2021) |
| MRI | Brain tumor | CC BY-NC-ND 4.0 | 0.76 Dice | No | Baek et al. (2019) |
| Digital Pathology | Breast tumor | CC BY-NC-ND 4.0 | 0.893 F1 | Yes | Le et al. (2020) |
| Digital Pathology | Lung tumor | CC-BY | 0.83 Accuracy | No | Tomita et al. (2019) |
| Digital Pathology | Multiple pathologies | MIT | N/a | No | Khened et al. (2021) |
| Electron microscopy | Multiple pathologies | MIT | 0.5 VI | Yes | Lee et al. (2017) |
| Fluorescence microscopy | Cellular structures reconstruction | N/a | 20 x Enhancement in DOF | Yes | Wu et al. (2019) |
| Fluorescence microscopy | Nuclei detection | BSD-3-Clause | 0.94 Accuracy | Yes | Weigert et al. (2020) |
| Microscopy | Cellular reconstruction | N/a | 0.69 AP | No | Hirsch et al. (2020) |
| MRI | Brain tumor | BSD-3-Clause | 0.87 Dice | Yes | Wang et al. (2018) |
| MRI | Brain tumor | MIT | 0.85 Dice | Yes | Havaei et al. (2017) |
| MRI | Brain tumor | MIT | 0.90 Dice | No | Isensee et al. (2018) |
| MRI | Brain tumor | MIT | 0.91 Dice | No | Myronenko, (2019) |
| SHG | Bone disease | GPL-3.0 | 0.78 Accuracy | No | Schmarje et al. (2019) |
| Time-lapse microscopy | Nuclei detection | N/a | 0.92 Accuracy | Yes | Shailja et al. (2021) |
| Ultrasound imaging | Intraventricular hemorrhage | MIT | 0.89 Dice | No | Valanarasu et al. (2020) |
| MRI | Brain tumor | N/a | 0.81 Dice | Yes | Larrazabal et al. (2021) |