Dear Sohayb Benabid ,

Medical imaging datasets are comprehensive collections of medical images used for healthcare research, artificial intelligence development, and clinical applications. These repositories typically include various imaging modalities such as CT scans, MRI, X-rays, and ultrasound images, often accompanied by annotations, clinical data, and usage guidelines for research and development purposes. Understanding how to access and utilize these resources effectively is crucial for advancing medical research and improving patient care.

https://about.cmrad.com/articles/medical-imaging-datasets-complete-guide-to-healthcare-data-resources

Ultrasound data refers to raw radio frequency (RF) ultrasound echoes collected from patients, typically used in medical imaging to detect breast lesions such as malignant and benign tumors.

https://www.sciencedirect.com/topics/computer-science/ultrasound-data

Regards,

Shafagat

Dear Shafagat Mahmudova ,

Thank you for sharing the valuable resources on medical imaging datasets. I truly appreciate it.

However, for my specific project, I am looking for datasets related to 2D to 3D ultrasound transformation, specifically sliced ultrasound data of the same patient. This will help in accurately reconstructing 3D models from 2D slices for further analysis.

If you have any suggestions or can point me in the right direction for such a dataset, I would be extremely grateful.

Best regards, sohayb benabid

dear Mikolaj A. Pawlak

Thank you so much for your helpful suggestions! I appreciate the guidance, and I'll make sure to follow your steps carefully in specifying the segmentation target, selecting the appropriate mode, and finding relevant datasets. Your input is really valuable as I move forward with this project!

Best regards, sohayb benabid