Prostate cancer image dataset. All studies include a T2-weighted (T2W) and diffusion-weight...

Prostate cancer image dataset. All studies include a T2-weighted (T2W) and diffusion-weighted (DWI) images with apparent diffusion coefficient (ADC) maps. PANDA (Prostate cANcer graDe Assessment) The PANDA datasets consists of 10,616 whole-slide images of digitized H&E-stained prostate tissue biopsies originating from two medical centers. Measurement of tumor volume and rate of change in visible lesions provides important data that should be collected routinely. Histopathologic confirmation is available for each cancerous lesion. Images in each study were resampled so that orientation A dataset of prostate cancer patients treated with radiation therapy or prostatectomy, including post-treatment toxicity and quality of life data, to support prediction of therapy-induced side effects and inform personalized treatment planning. The dataset contains 3. 0 Tesla MRI images of the prostate of patients with suspected prostate cancer. radius – The average distance from the center to the tumor boundary. Imaging was performed on a Phillips Gemini TF PET/CT scanner based on 4x4x22mm LYSO (lutetium yttrium orthosilicate) crystal detection elements covering 18cm axial field of view (FOV) and 57cm imaging transaxial FOV. Our aim was to develop an artificial intelligence-based model that can identify high An automated, deep learning-based framework for 3D prostate lesion detection using modified U-Net architectures, guided by pathology-informed ground truth is presented, highlighting its potential for strong clinical translation in MRI-guided prostate cancer detection.