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AI モデル 84759
- Qwen2.5-3B-Instruct-MLX-8bit↗
lmstudio-community
- Qwen3-VL-8B-Thinking-MLX-8bit↗
lmstudio-community
- Qwen3-4B-Thinking-2507-Unsloth-MagicQuant-Hybrid-GGUF↗
magiccodingman
- LFM2.5-2.6B-DSpark-GGUF↗
magnitudedev
- Crimson-Moon-6-DenseNet161-v2↗
Marc-HealthAI
This model was trained on dataset `Marc-HealthAI/fetal-planes-classification-dataset-main`. Retrain with updated lr=1e-5 and effective batch size 32 * **Classes:** Fetal abdomen, Fetal brain, Fetal femur, Fetal thorax, Maternal cervix, Other * **Dataset Features:** `['Image_name', 'Patient_num', 'Plane', 'Brain_plane', 'Operator', 'US_Machine', 'Split', 'image']` **Burgos-Artizzu, X.P., Coronado-Gutiérrez, D., Valenzuela-Alcaraz, B. et al. Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes. Sci Rep 10, 10200 (2020). https://doi.org/10.1038/s41598-020-67076-5** A large dataset of routinely acquired maternal-fetal screening ultrasound images collected from two different hospitals by several operators and ultrasound machines. All images were manually labeled by an expert maternal fetal clinician (B.V-A.). Images were divided into 6 classes: four of the most widely used fetal anatomical planes (Abdomen, Brain, Femur and Thorax), the mother’s cervix (widely used for prematurity screening) and a general category to include any other less common image plane. Fetal brain images were further categorized into the 3 most common fetal brain planes (Trans-thalamic, Trans-cerebellum, Trans-ventricular) to judge fine grain categorization performance. The final dataset is comprised of over 12,400 images from 1,792 patients. The dataset details are described in our open-acces paper: Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes
- bloom-1b7_with_lm_head↗
marcsun13
- calme-2.1-phi3.5-4b-GGUF↗
MaziyarPanahi
- Llama3-13B-ku-GGUF↗
MaziyarPanahi
- mergekit-slerp-ksadkxl-GGUF↗
MaziyarPanahi
- Malaysian-TTS-4B-v0.1↗
mesolitica