IT IS TODAY!!!!

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#Neuro #AI #ML #BrainTumor #MentalHealth #MedImaging #Resilience #NeuroOnc

Meet Dr. Mumu Aktar, our first speaker this Thursday.

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#Neuro #BrainTumor #MedImaging #AI #ML #NeuroOnc

Dose-Response Maps of the Bladder/Rectum in Prostate Cancer Patients Receiving Radiotherapy With/Without Baseline Normalization #RadOnc #OncoRad #RadTherapy #MedImaging #Radiology #Oncology #CancerResearch #MedPhys #PhysicsInMedicine #ProstateCancer #PCa t.ly/u8Dh7

Researchers introduce a two‑stage framework that improves multimodal medical image classification, outperforming on Kvasir and Kvasir‑v2 gastroscopy datasets. Read more: https://getnews.me/synergistic-pre-training-boosts-multimodal-medical-image-classification/ #multimodal #medimaging

🎀 The ABUS Market is revolutionizing breast cancer screening with AI-driven imaging. 💗
Top players:
🔹 @GEHealthCare
🔹 @SiemensHealth
🔹 @CanonMedicalSys

#BreastCancerAwareness #MedImaging #AIHealth #HealthcareInnovation #MRFR #WomenHealth

www.marketresearchfuture.com/reports/auto...

CLAIM 2024 Update:
🔍 275 PubMed, 608 Google Scholar citations.
🧠 "Reference standard" replaces outdated "ground truth".
📊 73 expert panelists conducted Delphi consensus.

#CLAIM2024 #AIresearch #MedImaging #Radiology

https://dev.tnyp.me/pe8hXVlw/s

🛠️ When you register for the PACS System Analyst Intensive, you get world-class training from Yuri Nikolski AND:

📚 3 eBooks (PACS, DICOM, HL7)
📝 A comprehensive Certification Study Guide
🔗 REGISTER HERE: vist.ly/4s6e7

#MedImaging #RadiologyIT #DICOM #PACSAdmin

A training-free, explainable vision-language model for medical imaging has been announced. Read more: https://getnews.me/training-free-explainable-vision-language-model-for-medical-imaging/ #medimaging #visionlanguage #explainable

CBVLM lets vision‑language models answer concept queries and give diagnoses without training, beating traditional CBMs on four medical‑imaging datasets and twelve LVLMs. Read more: https://getnews.me/explainable-concept-based-vision-language-model-for-medical-imaging/ #medimaging #concept

VeloxSeg boosts 3D medical image segmentation Dice scores by 26% and speeds GPU throughput ~11× and CPU throughput ~48×, while staying lightweight model. Read more: https://getnews.me/veloxseg-boosts-3d-medical-image-segmentation-with-ai-efficiency/ #veloxseg #medimaging

SAM‑DCE adds contrastive token regularization and a mask decoder to reduce token uniformity and sharpen edges, improving class separability on MRI, CT and ultrasound tests. Read more: https://getnews.me/sam-dce-reduces-token-uniformity-and-over-smoothing-in-segmentation/ #samdce #medimaging