Pith Number

pith:BP54C7TS

pith:2026:BP54C7TS5V43LS7PI6JIIWJGBC

not attested not anchored not stored refs resolved

Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network

Jannatul Ferdous, Md Fahimul Kabir Chowdhury

A lightweight CNN classifies brain tumors in MRI images at 99 percent accuracy using far fewer parameters than standard models.

arxiv:2605.12560 v1 · 2026-05-11 · eess.IV · cs.CV · cs.LG

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\pithnumber{BP54C7TS5V43LS7PI6JIIWJGBC}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

our CNN achieved classification accuracies of 99.03% and 99.28%, along with ROC scores of 99.88% and 99.94% on Dataset 1 and Dataset 2, respectively-all while utilizing significantly fewer parameters than popular pre-trained architectures.

C2weakest assumption

The high reported accuracies will generalize to new MRI scans from different hospitals, scanners, or patient populations, without evidence of external validation or safeguards against overfitting on the two chosen datasets.

C3one line summary

A custom lightweight CNN classifies brain tumors in MRI scans at 99%+ accuracy on two public datasets while using fewer parameters than standard models like ResNet50.

References

22 extracted · 22 resolved · 0 Pith anchors

[1] Cancer diagnosis using deep learning: a bibliographic review, 2019

[2] Rehabilitation of adult patients with primary brain tumors: a narrative review, 2020

[3] Multiple brain tumor classification with dense cnn architecture using brain mri images, 2023

[4] Development of a smart system for neonatal jaundice detection using cnn algorithm, 2022

[5] Deep transfer learning approaches in performance analysis of brain tumor classification using mri images, 2022

Receipt and verification

First computed	2026-05-18T03:10:01.992699Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0bfbc17e72ed79b5cbef47928459260897276167460ceafa2e898127f3d688d2

Aliases

arxiv: 2605.12560 · arxiv_version: 2605.12560v1 · doi: 10.48550/arxiv.2605.12560 · pith_short_12: BP54C7TS5V43 · pith_short_16: BP54C7TS5V43LS7P · pith_short_8: BP54C7TS

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/BP54C7TS5V43LS7PI6JIIWJGBC \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0bfbc17e72ed79b5cbef47928459260897276167460ceafa2e898127f3d688d2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1c3c39220dd671aa72c81a0017c5c8bd044f3c97a4cb753cbd3979afc48b5a12",
    "cross_cats_sorted": [
      "cs.CV",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2026-05-11T21:39:24Z",
    "title_canon_sha256": "9d406ecaa863693b81d70342bb4408dd21c435c3506f3ead22e74a128e689383"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12560",
    "kind": "arxiv",
    "version": 1
  }
}