MiMM_SBILab Dataset: Microscopic Images of Multiple Myeloma
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Microscopic images were captured from bone marrow aspirate slides of patients diagnosed with multiple myeloma as per the standard guidelines. Slides were stained using Jenner-Giemsa stain. Images were captured at 1000x magnification using Nikon Eclipse-200 microscope equipped with a digital camera. Images were captured in raw BMP format with a size of 2560x1920pixels. In all, this dataset consists of 85 images. All these 85 images are stain normalized using our in-house methodology and can be used cell segmentation. These stain normalized images have been provided as the annotated dataset with plasma cells marked in all image slides contained in a PowerPoint presentation for the ready reference of readers.' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["blood cancer","Cancer dataset","Deep learning","Multiple Myeloma","Segmentation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Microscopic images were captured from bone marrow aspirate slides of patients diagnosed with multiple myeloma as per the standard guidelines. Slides were stained using Jenner-Giemsa stain. Images were captured at 1000x magnification using Nikon Eclipse-200 microscope equipped with a digital camera. Images were captured in raw BMP format with a size of 2560x1920pixels. In all, this dataset consists of 85 images. All these 85 images are stain normalized using our in-house methodology and can be used cell segmentation. These stain normalized images have been provided as the annotated dataset with plasma cells marked in all image slides contained in a PowerPoint presentation for the ready reference of readers.' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Microscopic images were captured from bone marrow aspirate slides of patients diagnosed with multiple myeloma as per the standard guidelines. Slides were stained using Jenner-Giemsa stain. Images were captured at 1000x magnification using Nikon Eclipse-200 microscope equipped with a digital camera. Images were captured in raw BMP format with a size of 2560x1920pixels. In all, this dataset consists of 85 images. All these 85 images are stain normalized using our in-house methodology and can be used cell segmentation. These stain normalized images have been provided as the annotated dataset with plasma cells marked in all image slides contained in a PowerPoint presentation for the ready reference of readers.
blood cancer; Cancer dataset; Deep learning; Multiple Myeloma; Segmentation