An overview architecture of BTFormer.

<p>a) Detailed Architectures of Proposed BTFormer. It extracts global features with a transformer-based backbone as an encoder. The decoder consists of upsampling blocks, comprising an upsampling operator and some simple convolutional layers (Conv-BN-ReLU). b) Axial-free Attention Block (D = 4...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Hua Wang (13530) (author)
مؤلفون آخرون:	Yiming Li (40290) (author), Linwei Qiu (22110240) (author), Jicong Zhang (3700579) (author), Jingfei Hu (8894756) (author)
منشور في:	2025
الموضوعات:	Developmental Biology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified typical public dataset soft aggregation operation lower computational resources embed features extracted diversified receptive field challenging task due 86 %, 91 81 %, 92 25 %, 92 local feature maps different tissue structures collect global cues free attention mechanism free attention block art segmentation performance free attention range cues local structure different angles rotation consistency poor contrast novel transformer jaccard index embryo images dice coefficient catches non blastocyst components blast transformer based architecture ambiguous boundaries 45 %.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

An overview architecture of BTFormer.

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