Research graph
References from Adaptive BitFit: Gradient-Driven Sparse Bias Fine-Tuning for Efficient Cancer Classification. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1002/cncr.35128
10.1002/cncr.35128 · External reference
10.1186/s12890-025-03748-0
10.1186/s12890-025-03748-0 · External reference
10.1097/cm9.0000000000002529
10.1097/cm9.0000000000002529 · External reference
10.1038/s41598-025-90537-8
10.1038/s41598-025-90537-8 · External reference
10.1016/j.canep.2024.102693
10.1016/j.canep.2024.102693 · External reference
10.1038/s41598-025-04636-7
10.1038/s41598-025-04636-7 · External reference
10.1177/15353702211019697
10.1177/15353702211019697 · External reference
10.1038/s41591-018-0177-5
10.1038/s41591-018-0177-5 · External reference
10.1038/s41598-019-40041-7
10.1038/s41598-019-40041-7 · External reference
10.1093/jamia/ocz230
10.1093/jamia/ocz230 · External reference
10.1007/978-3-030-87237-3_18
10.1007/978-3-030-87237-3_18 · External reference
10.1038/s43018-022-00436-4
10.1038/s43018-022-00436-4 · External reference
10.1109/jsen.2023.3288113
10.1109/jsen.2023.3288113 · External reference
10.1109/jsen.2025.3529208
10.1109/jsen.2025.3529208 · External reference
10.69882/adba.csai.2025074
10.69882/adba.csai.2025074 · External reference
10.51537/chaos.1807694
10.51537/chaos.1807694 · External reference
LoRA: Low-rank adaptation of large language models
External reference
10.1016/j.compmedimag.2025.102583
10.1016/j.compmedimag.2025.102583 · External reference
10.18653/v1/2022.acl-short.1
10.18653/v1/2022.acl-short.1 · External reference
10.1016/j.health.2023.100224
10.1016/j.health.2023.100224 · External reference
10.1016/j.bspc.2023.105149
10.1016/j.bspc.2023.105149 · External reference
10.3390/electronics13071393
10.3390/electronics13071393 · External reference
10.1109/access.2023.3321686
10.1109/access.2023.3321686 · External reference
10.1038/s41598-024-61101-7
10.1038/s41598-024-61101-7 · External reference
10.3390/diagnostics14222497
10.3390/diagnostics14222497 · External reference
10.1177/11795972241271569
10.1177/11795972241271569 · External reference
10.1016/j.health.2025.100391
10.1016/j.health.2025.100391 · External reference
10.1109/access.2024.3448302
10.1109/access.2024.3448302 · External reference
10.3390/technologies13020054
10.3390/technologies13020054 · External reference
10.1038/s41598-023-35431-x
10.1038/s41598-023-35431-x · External reference
10.55730/1300-0632.4175
10.55730/1300-0632.4175 · External reference
10.1016/j.bspc.2024.106959
10.1016/j.bspc.2024.106959 · External reference
10.1109/siu59756.2023.10223975
10.1109/siu59756.2023.10223975 · External reference
10.1007/s00521-021-06202-4
10.1007/s00521-021-06202-4 · External reference
Lung and colon cancer histopathological image dataset (LC25000)
2019 · External reference
100,000 histological images of human colorectal cancer and healthy tissue
External reference
10.3389/fonc.2025.1659010
10.3389/fonc.2025.1659010 · External reference
10.1016/j.heliyon.2024.e30625
10.1016/j.heliyon.2024.e30625 · External reference
10.1016/j.bspc.2024.106579
10.1016/j.bspc.2024.106579 · External reference
10.3390/electronics13163126
10.3390/electronics13163126 · External reference
Brain cancer-MRI dataset
2024 · External reference
MobileViT: Light-weight, general-purpose, and mobile-friendly vision transformer
2021 · External reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
Understanding the difficulty of training deep feedforward neural networks
External reference
10.1109/iccv.2017.324
10.1109/iccv.2017.324 · External reference
10.1109/access.2025.3589390
10.1109/access.2025.3589390 · External reference
10.3390/app13074594
10.3390/app13074594 · External reference
10.3390/diagnostics13071277
10.3390/diagnostics13071277 · External reference
10.3389/fonc.2023.1240645
10.3389/fonc.2023.1240645 · External reference
10.1007/s42452-024-06127-2
10.1007/s42452-024-06127-2 · External reference
