# Computers in Biology and Medicine

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/computers-in-biology-and-medicine/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0010-4825 |
| ISSNs | 0010-4825,1879-0534 |
| OpenAlex ID | https://openalex.org/S44278595 |
| Publisher | Elsevier BV |

## Journal papers

Showing 12 of 44.

- [Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images](https://scholariq.org/papers/exploring-the-effect-of-image-enhancement-techniques-on-covid-19-detection-using/)
- [A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics](https://scholariq.org/papers/a-review-on-multimodal-medical-image-fusion-compendious-analysis-of-medical/)
- [Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases](https://scholariq.org/papers/accurate-leukocyte-detection-based-on-deformable-detr-and-multi-level-feature/)
- [Breast cancer detection using deep learning: Datasets, methods, and challenges ahead](https://scholariq.org/papers/breast-cancer-detection-using-deep-learning-datasets-methods-and-challenges/)
- [Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation](https://scholariq.org/papers/learning-with-limited-annotations-a-survey-on-deep-semi-supervised-learning-for/)
- [Segment anything model for medical image segmentation: Current applications and future directions](https://scholariq.org/papers/segment-anything-model-for-medical-image-segmentation-current-applications-and/)
- [Deep learning for colon cancer histopathological images analysis](https://scholariq.org/papers/deep-learning-for-colon-cancer-histopathological-images-analysis/)
- [Wheeze detection based on time-frequency analysis of breath sounds](https://scholariq.org/papers/wheeze-detection-based-on-time-frequency-analysis-of-breath-sounds/)
- [Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation](https://scholariq.org/papers/directional-mutation-and-crossover-boosted-ant-colony-optimization-with/)
- [HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation](https://scholariq.org/papers/hctnet-a-hybrid-cnn-transformer-network-for-breast-ultrasound-image-segmentation/)
- [Construction of a Bayesian network for mammographic diagnosis of breast cancer](https://scholariq.org/papers/construction-of-a-bayesian-network-for-mammographic-diagnosis-of-breast-cancer/)
- [Deep learning techniques for liver and liver tumor segmentation: A review](https://scholariq.org/papers/deep-learning-techniques-for-liver-and-liver-tumor-segmentation-a-review/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.