337 - Whole Slide Image segmentation for nuclei​ using Detectron2 and YOLOv8

  Рет қаралды 4,420

DigitalSreeni

DigitalSreeni

Күн бұрын

Пікірлер: 16
@md.imranhossain9191
@md.imranhossain9191 10 ай бұрын
Please make a video series of classifications and segmentations using Transformers. Looking forward to explore Transformer based segmentation and classification approaches.
@SourabhSamanta-b7o
@SourabhSamanta-b7o 10 ай бұрын
Thank you for your another video Can you make a video on Kits23 data set for segmentation using monai
@harshit5174
@harshit5174 10 ай бұрын
How can we use mIoU instead of mAP for validation of YOLOv8 Segmentation Model ?
@THE.M.M.M
@THE.M.M.M 10 ай бұрын
Thank you very much, please can you do brain tumour segmentation using transfer learning... Thank you....
@GretaMarkert-su3pt
@GretaMarkert-su3pt 6 ай бұрын
Thanks!
@DigitalSreeni
@DigitalSreeni 4 ай бұрын
Thank you
@srivathsansanthanam639
@srivathsansanthanam639 10 ай бұрын
I know these videos have gone really really ahead(advanced).But a request from a student/fan. Can u please make a video on haar feature detection. 😊
@bhanudaybirla
@bhanudaybirla 6 ай бұрын
Hello, This is very helpful content. Do you have any idea on how we can make tile predictions in parallel to make whole image prediction faster. I have very big WSI images and sequentially processing would take ~4 days since I have to process 72K tiles in total for one WSI.
@Ayzal.Y_Liebe
@Ayzal.Y_Liebe 10 ай бұрын
thank you so much,, 😌
@DigitalSreeni
@DigitalSreeni 10 ай бұрын
You're welcome 😊
@DatasetMSThesis
@DatasetMSThesis 5 ай бұрын
what is size of those images you segmented?
@Hartvig5k
@Hartvig5k 10 ай бұрын
Tak!
@DigitalSreeni
@DigitalSreeni 10 ай бұрын
Thank you very much.
@Hartvig5k
@Hartvig5k 10 ай бұрын
​@@DigitalSreeni it's so far from the value your videos give to us all, that you thanking me makes me embarrased I didn't give more. Thanks for all your hard work.
@thomasdenize5933
@thomasdenize5933 9 ай бұрын
Thanks!
@DigitalSreeni
@DigitalSreeni 9 ай бұрын
Thank you for being very generous.
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